These gatherings serve as hubs for innovation, collaboration, and networking, bringing together key players in the EdTech industry. Here’s a curated list of must-attend events for EdTech companies in the United States looking to stay at the forefront of the industry:

2024 EdTech Events – Hurry, registration is almost over!

Connecting the Americas EDU

Alberto Silveira (Co-Creator of Connecting the Americas), Alyssa Lee (Senior GTM , Customer Success (AI/ML) at AWS), and Pedro Ferreira (Head of AI at Ubiminds)

Be part of an intimate, in-person gathering tailored for EdTech leaders—CEOs, CTOs, and CPOs. This year, discussions will be on AI use in education. You can also watch the recordings of previous editions on their website.

• When: TBD
• Where: NYC
• Audience: Education Technology
• Tickets: Connecting the Americas Waiting List

Connecting the Americas is offers a curated space for meaningful networking, deep discussions, and valuable insights into the future of education technology. 

ISTE (International Society for Technology in Education)

Explore cutting-edge educational technology and connect with educators and thought leaders from around the world.

• When: June 23-26, 2024
• Where: Denver, CO
• Tickets: ISTE Registration

ISTE is a beacon for those interested in the data-driven world of education technology, connecting administrators and software product developers to explore cutting-edge solutions for enhanced student learning.

SaaStr

Immerse yourself in the world of SaaS with insights from industry leaders, networking opportunities, and actionable strategies.

• When: September 10-12
• Where: San Francisco, California
• Audience: SaaS B2B
• Tickets: SaaStr Annual

SaaStr stands out as a key event for business leaders and software engineering experts to discuss the design and development of cost-effective software solutions for virtual reality and operating systems.

EdTech Week

Join key players in education technology for a week of networking, collaboration, and insights into the future of EdTech.

• When: October 07-10, 2024
• Where: New York
• Audience: EdTechs / VCs / B2C (schools/districts)
• Tickets: EdTech Week

EdTech Week serves as a dynamic meeting point for boards of education, districts, and software engineering professionals, fostering collaboration in the development of software products for personalized learning and effective project management.

TechCrunch Disrupt

Dive into the startup world, connect with industry disruptors, and explore the latest in technology and entrepreneurship.

• When: October 28-30
• Where: San Francisco, California
• Audience: Start-up / Scale-up / B2B
• Tickets: TechCrunch Disrupt

TechCrunch Disrupt offers a glimpse into the startup world, attracting alumni, business leaders, and software companies eager to explore innovative software applications and project management solutions.

EdWeek Market Brief Summit

Explore market trends and opportunities in the K-12 education sector, connecting with leaders and innovators in the market.

• When: October (Exact dates to be announced)
• Where: Phoenix, AZ
• Audience: K-12 market
• Tickets: Market Brief Summit

The EdWeek Market Brief Summit is an essential gathering for admins and districts seeking insights into education trends, data-driven decision-making, and the latest software solutions for impactful learning experiences.

2025 EdTech Events — Get Ready! Call for Papers & Speakers

FETC (Future of Education Tech Conference)

Explore the latest innovations in education technology, connect with industry leaders, and shape the future of online learning.

• When: January 14-17, 2025
• Where: Orlando, FL
• Audience: Schools <> EdTech companies
• Tickets: FETC Registration

EdTech events like FETC and TCEA play a pivotal role in shaping education technology trends and insights, offering a unique opportunity for administrators, alumni, teachers, and boards of education to explore the latest advancements.

TCEA (Texas Computer Education Association)

Join a community committed to advancing technology in education, fostering collaboration, and sharing insights.

• When: February 01-05, 2025
• Where: Austin, TX
• Audience: Member-based organization devoted to advancing technology in education
• Tickets: TCEA Convention

TCEA, as a member-based organization devoted to advancing technology in education, not only provides a platform for collaboration but also serves as a dynamic community where educativeprofessionals, administrators, and industry leaders converge to stay at the forefront of educational technology trends and innovations.

CoSN (The Consortium for School Networking)

Collaborate with education leaders and EdTech professionals to drive innovation and transformation in K-12 education.

• When: March 31 – April 02, 2025
• Where: Miami, FL
• Audience: K-12 EdTechs and school district leaders
• Tickets: CoSN Annual Conference

CoSN’s Annual Conference is a vital gathering for software engineering professionals, where they can discuss education industry trends and insights, as well as innovative software tailored for K-12 districts and high schools.

SXSW EDU (South by Southwest Education)

Immerse yourself in the intersection of education, technology, and innovation at one of the most influential conferences in the field.

• When: March 03-06, 2025
• Where: Austin, TX
• Audience: Education Technology
• Tickets: SXSW EDU Registration

As the education technology industry trends towards immersive learning experiences, conferences such as SXSW EDU become essential platforms for computer software companies and business leaders to delve into the future of personalized learning.

ASU/GSV

A premier event bringing together visionaries and leaders in education and workforce development from early childhood to lifelong learning.

• When: April 07-09, 2025
• Where: San Diego, California
• Audience: “Pre-K to Gray” education and workforce learning
• Tickets: ASU/GSV Registration

ASU/GSV brings together visionaries in education and workforce development, providing a forum for exploring cost-effective software applications and innovative degree programs that align with evolving skill sets.

Are There Any EdTech Events We Missed?

Mark your calendars to be part of these transformative events shaping the future of education technology! You can also sign up for Ubimind’s newsletter to stay tuned for updates. 

Did you like our list? Don’t forget to let us know if we should make any additions. 

Thiago Reis

Dad, Marketer, Salesman, Guitar Player. Self-starter, agile learner, and people-oriented, Thiago Reis is passionate about shaping the future of tech. Specialized in the Education Sector, previously excelling in Telecom, ISPs, and Digital Agencies.

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Changing Roles of Educators and Parents in the AI Era

AI-powered EdTech solutions are augmenting educators’ capabilities by offering personalized learning experiences, automating administrative tasks, and providing insights for targeted interventions.

The Impact of AI Use on Parents Partaking in Children’s Education

Parents are becoming more actively involved in their children’s education, collaborating with AI-powered platforms to track progress, receive personalized recommendations, and provide additional support at home. Photo by sofatutor

How AI Will Change the Way Educators Teach

Teachers are transitioning from traditional lecturers to facilitators of personalized learning journeys, leveraging AI to tailor education to individual student needs. Photo by LinkedIn Sales Solutions

Challenges and Concerns Associated with AI in Education

Despite the promising benefits, the integration of AI in education raises legitimate concerns. Ethical considerations regarding data privacy, algorithmic bias, and the depersonalization of learning experiences warrant careful attention. 

Additionally, the digital divide exacerbates inequalities, with marginalized students facing limited access to AI-powered resources. Moreover, the reliance on AI may inadvertently diminish the role of human intuition and empathy in education, potentially undermining the holistic development of students.

Addressing Concerns on AI Impact on Educators and Parents: FAQs

To dive deeper, you may want to check out the blog posts below:

1. Can AI Make Access to Education More Equitable?
2. Applying AI to Education: Enhancing Learning Through Innovation

All said,

The integration of AI brings about transformative changes for both educators and parents alike. With AI-driven personalized learning experiences, educators transition from curriculum enforcers to facilitators of tailored education, while parents become active partners in their child’s academic journey, supported by AI insights. 

However, amidst these advancements, it’s crucial for stakeholders to remain vigilant, ensuring that AI recommendations align with educational goals and standards, and that interventions are effective and inclusive. By embracing the potential of AI while remaining mindful of its implications, educators and parents can collectively nurture a more adaptive, engaging, and effective learning environment for the next generation.

Scheila Farias Silveira

International Marketing Leader, specialized in tech. Proud to have built marketing and business generation structures for some of the fastest-growing SaaS companies on both sides of the Atlantic (UK, DACH, Iberia, LatAm, and NorthAm). Big fan of motherhood, world music, marketing, and backpacking. A little bit nerdy too!

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In this insightful discussion, we’re fortunate to hear from three distinguished voices in the field:

Alberto Silveira (Co-Creator of Connecting the Americas), Alyssa Lee (Senior GTM , Customer Success (AI/ML) at AWS), and Pedro Ferreira (Head of AI at Ubiminds)

Ready? Let’s explore how it can enhance educational experiences and foster greater engagement and outcomes for learners worldwide! You can either watch the full session below, or read our article on the key learnings. 

Definition and Basics of Artificial Intelligence Applied to Education

We kick things off by defining artificial intelligence. 

Artificial intelligence (AI) encompasses various subsets, including machine learning and deep learning, with applications ranging from everyday devices like microwaves to complex systems like self-driving cars.

There are various subsets, including machine learning and deep learning. Understanding these concepts lays the foundation for comprehending AI’s role in education (explored in the next section). 

To begin with, key definitions to have in mind:

Leveraging AI for Teaching and Learning

In the context of education, AI serves as a form of automation, simplifying tasks for educational organizations, educators, and learners alike. It:

…and other activities. Ultimately, it enhances the efficiency and effectiveness of teaching and learning processes. By automating routine tasks and  allowing educators to analyze large datasets, it helps teachers and admins to make data-informed decisions.

Three Use Cases and Practical Applications

So how about we examine real-world examples of AI implementation in education? From chatbots aiding student inquiries to personalized learning experiences tailored to individual needs, the possibilities are endless.

#1 Chatbots for Personalized Support

“Chatbots serve as virtual assistants, providing personalized support to students on their learning journey,” explains Pedro.

“These AI-powered bots engage with students in real-time, offering immediate assistance and tailored guidance.”

These chatbots can answer questions, provide feedback, and offer resources tailored to individual needs. By leveraging natural language processing algorithms, chatbots enhance student engagement and facilitate a more interactive learning experience.

#2 Adaptive Learning Platforms

AI-driven adaptive learning platforms analyze student performance data to tailor educational content and activities to each learner’s unique needs and learning pace. Alyssa emphasizes that

“These platforms dynamically adjust learning materials and interventions based on individual performance data, promoting personalized learning experiences.”

Platforms can adjust the difficulty level of tasks, provide customized learning pathways, and offer targeted interventions to address areas of weakness. By personalizing the learning experience, adaptive learning platforms optimize student outcomes and promote academic success.

#3 Early Intervention Systems

AI-based early intervention systems identify at-risk students by analyzing various indicators, such as academic performance, behavior patterns, and engagement levels. 

“By analyzing academic performance, behavior patterns, and engagement levels, these systems empower educators to intervene early and address student needs effectively.“, Alberto reminds us.

These systems proactively flag students who may be struggling or at risk of falling behind, enabling educators to intervene and provide targeted support. By identifying potential challenges before they escalate, early intervention systems empower educators to address student needs effectively and foster academic success.

How to Address Challenges and Risks Posed by AI Use in Education

Despite its immense potential, AI in education also presents challenges and risks, such as the phenomenon of “hallucination” where AI models generate inaccurate or misleading information. We explore strategies to mitigate these risks and ensure responsible AI use in educational settings.

1. Ensuring Ethical and Responsible AI Use

Ethical considerations are paramount when integrating AI into education. “Educational institutions must establish clear guidelines and frameworks to ensure ethical and responsible AI use.”, Pedro explains.

Key Points:

2. Ensuring Data Privacy and Security

Alyssa highlights the importance of data privacy in AI-driven educational systems. “Protecting student data is crucial to maintain trust and integrity,” she states.

Key Points:

3. Addressing Bias and Fairness

“AI algorithms must be rigorously tested and monitored to detect and address bias,” advises Alberto. After all, fairness and equity should be central to AI development in education.

Key Points:

4. Promoting Transparency and Explainability

“Transparency and explainability are essential for building trust in AI systems,” states Pedro. Educators and students should understand how AI algorithms work and the rationale behind their decisions.

Key Points:

5. Fostering Digital Literacy and Awareness

Digital literacy is vital for navigating the complexities of AI-powered technologies. “Educational programs should focus on empowering students with critical thinking and digital skills.”, Alyssa emphasizes. 

Key Points:

6. Collaborating and Sharing Best Practices

Alberto stresses the importance of collaboration and knowledge sharing in addressing AI challenges. “Educational institutions should collaborate and share best practices to foster innovation and collective learning,” he suggests.

Key Points:

In conclusion, we reflect on the transformative power of AI in education and the imperative of leveraging this technology responsibly to maximize its benefits while minimizing risks. 

Want to Continue Future-gazing?

Interested in delving deeper into the intersection of AI and education? If you found this exploration of AI’s impact on education thought-provoking, we invite you to explore more insights from our series of discussions on AI in education in our EdTech blog section. 

You should also check out our other summaries from the Connecting the Americas fireside chats here and here.

Sign up below to receive notifications about upcoming sessions and stay updated on the latest developments in software industry. Don’t miss out on the opportunity to expand your knowledge and connect with industry leaders in the field! 

What You Should Know About our Community

Scheila Farias Silveira

International Marketing Leader, specialized in tech. Proud to have built marketing and business generation structures for some of the fastest-growing SaaS companies on both sides of the Atlantic (UK, DACH, Iberia, LatAm, and NorthAm). Big fan of motherhood, world music, marketing, and backpacking. A little bit nerdy too!

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Participants:
– Adam Goldfarb (Program Officer, K12 Data at Bill and Melinda Gates Foundation)
– Stephanie Miller (VP Data and Impact at Axim)
– Sarah Schwettmann (Research Scientist at MIT)
– Shmona Simpson (CEO at Paritii)

The Growing Use of AI in Education:

The discussion began with an acknowledgment of the increasing adoption of AI technologies in education, particularly for content adaptation. However, it quickly became clear that not all students have equal access to these tools. Advantaged districts are often quicker to integrate AI, exacerbating existing disparities in educational opportunities, especially for Black and Latino students.

Responsible Use of AI:

Panelists stressed the importance of using AI responsibly in education. While AI can be a valuable tool for learning, it’s essential to strike a balance between technological assistance and human support. Mentors play a crucial role in guiding students, ensuring their engagement and development rather than simply focusing on completing tasks.

Beyond Task Completion to Student Developmental Growth

Addressing Biases in AI:

One of the most significant challenges discussed was the presence of biases within AI systems. Despite advancements, AI algorithms can still replicate biases present in their training data. To address this issue, panelists emphasized the importance of diversifying datasets and promoting transparency in data models to mitigate bias and ensure fair outcomes for all students.

Empowering Students with Data Literacy:

An important theme that emerged was the need to empower students with data literacy skills. Educators must help students understand how data is used in AI systems and how to critically evaluate its impact. By fostering data literacy, students can navigate AI-driven decision-making with confidence and advocate for equitable practices.

Inclusive AI Development:

Panelists highlighted the importance of developing AI technologies with inclusivity in mind. This means considering factors such as language, communication, and cultural representation to ensure that AI serves as a tool for promoting equity rather than perpetuating existing inequalities.

Policy and Societal Considerations:

The discussion also touched on the importance of incorporating equity concerns into AI policy frameworks. Policymakers need to solicit input from stakeholders and use data from educators to inform decisions about AI development and deployment.

Navigating Accountability in Education:

Educators play a crucial role in holding AI companies and systems accountable. By demystifying technology and advocating for student interests, educators can ensure that AI is used ethically and equitably in education.

Empowering Innovation: The Pipeline of Machine Learning Development

Conclusion:

As the discussion concluded, it was clear that addressing equity concerns in AI and education requires a concerted effort from all stakeholders. By prioritizing responsible development, transparency, and inclusivity, AI has the potential to revolutionize education and create more equitable learning environments for all students.

AI use by educational organizations is growing, especially for content adaptation.Yet, cost is a issue: while advantaged districts move faster, which includes training teachers, Black and Latino students are already facing a gap in terms of access (k-12 and post secondary).

AI is a collaborator, and when used responsibly, is great. Tools can be developed to make up almost a 1-1 teacher to student ratio. Can be used by teachers and counselors, balancing human touch and support is important. The mentor role pushing and encouraging them to move forward instead of just finishing.

Under the hood, it’s chat GPT with a different wrapping. The problem of one database which isn’t diverse will train the machine to replicate biases that are less obvious than just gender, race.

Scheila Farias Silveira

International Marketing Leader, specialized in tech. Proud to have built marketing and business generation structures for some of the fastest-growing SaaS companies on both sides of the Atlantic (UK, DACH, Iberia, LatAm, and NorthAm). Big fan of motherhood, world music, marketing, and backpacking. A little bit nerdy too!

O post Equity Concerns in AI and Education: Insights from SXSW EDU apareceu primeiro em Ubiminds.

The integration of educational technology (EdTech) has emerged as a transformative force in the world of education. EdTech integrations encompass a wide array of software categories, each playing a unique role in reshaping the educational experience. From Learning Management Systems (LMS) and Student Information Systems (SIS) to assessment tools, video conferencing platforms, and content management systems, the synergy of these diverse software categories is fundamentally changing how educators teach and how students learn. In this article, we explore the essential categories of EdTech software, their interconnectedness in the educational ecosystem, why seamless integration matters, and how educational institutions can achieve successful integrations.

Why Seamless EdTech Integration Matters

The strategic imperative of EdTech integration is recalibrating education, creating connected and optimized learning experiences. An intricate network of software categories empowers educators, administrators, and students by offering a holistic educational landscape that extends far beyond convenience.  Seamless EdTech Integration holds the potential to:

• Enhance Learning Experiences: Seamless integrations pave the way for a richer and more engaging learning experience, offering students an array of interactive content and assessment methods to cater to varied learning styles.
• Streamline Administrative Efficiency: Automation and data transfer between integrated systems reduce administrative workload, resulting in a more efficient and optimized education delivery process.
• Support Personalization: Integrated systems allow for tailored, personalized learning paths, catering to the unique pace and learning style of each student.
• Facilitate Data-Driven Decision-Making: Integrated systems provide valuable data insights for educators, facilitating informed decision-making and improved teaching methods based on real-time student progress.
• Adapt to Modern Learning Environments: In an era defined by virtual and hybrid learning models, seamless integrations are the bedrock upon which the success of these models is built, ensuring continuity in education delivery.

The EdTech Software Spectrum

EdTech software comes in a diverse spectrum of categories, each designed to address specific aspects of education and provide tailored solutions. Here are some of the key categories:

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The Interconnected Educational Ecosystem:

The educational ecosystem thrives when these software categories seamlessly intertwine, creating a connected learning experience. Next, we’ll have a look into how they work together, and what technical concerns software engineering and product teams must take into consideration when connecting such tools. 

Sidenote: You may want to check out these insights from Joel Hames, Chief Product Officer at Subject, on how to Prioritize Tech Debt

SIS and LMS Integration Challenges and How to Circumvent Them

Linking Student Information Systems (SIS) with a Learning Management Systems (LMS) allows for the automated transfer of student data, streamlining course enrollment, grading, and attendance tracking. Course registration becomes more efficient, and student records are consistently updated. However, when integrating SIS and LMS in an educational setting, software engineering and product teams face a myriad of technical challenges that demand thoughtful consideration. 

One key challenge lies in data interoperability. SIS typically contain a wealth of student data, including enrollment records, course schedules, and academic performance metrics, whereas LMS platforms serve as the primary interface for course delivery and engagement. To ensure seamless integration, data must flow effortlessly between the two systems. This requires adherence to interoperability standards like the IMS Global Learning Consortium’s Learning Tools Interoperability (LTI) and the use of application programming interfaces (APIs) for data exchange. Security and privacy concerns are paramount as well, with sensitive student information at stake. Encryption and robust authentication protocols are essential safeguards.

Another challenge is the diversity of software platforms and architectures used by different institutions. LMS and SIS products vary widely in their designs and capabilities, complicating integration efforts. To circumvent these challenges, software engineering teams must prioritize compatibility and flexibility when developing integration solutions. Using open standards and building modular, adaptable systems can facilitate smoother integrations and future-proof the setup.

Moreover, real-time data synchronization and monitoring become imperative for ensuring data accuracy and consistency. Continuous testing and monitoring mechanisms can catch and rectify issues swiftly.

How to Avoid Issues When Integrating Content Management and LMS

Content created with Content Management Systems (CMS) software can be efficiently integrated into Learning Management Systems (LMS) platforms, ensuring a unified and organized learning experience. Students can access resources without navigating multiple platforms, simplifying their learning experience.

When it comes to integrating CMS with LMS, software engineering and product teams must grapple with various technical challenges. One significant challenge revolves around content format compatibility. CMS platforms often store content in various formats like HTML, PDF, videos, and interactive modules, which may not seamlessly integrate with the LMS. Ensuring that content from the CMS can be easily consumed and navigated within the LMS is crucial. This requires establishing standardized formats, such as SCORM (Sharable Content Object Reference Model) or LTI, that can be shared between systems.

Another challenge relates to version control and updating. Changes made to content in the CMS must accurately reflect in the LMS to ensure that students and instructors are working with the latest materials. This demands real-time synchronization and tracking of content versions.

To overcome these hurdles, software engineering teams should consider creating adaptable connectors that can convert content formats on-the-fly to meet LMS requirements. An efficient content management system should also support APIs for seamless data transfer and version tracking, ensuring that content is always up to date. Regular testing and monitoring will help identify and rectify integration issues in real time, guaranteeing a smooth experience for both educators and students.

Technical Challenges of Integrating Video Conferencing and Collaboration Tools

Video conferencing tools complement collaboration platforms by enabling real-time communication for virtual classrooms, meetings, and webinars. Parent-teacher communication, for example, can be more accessible and personalized, fostering better understanding and cooperation.

One major hurdle when integrating Video Conferencing and Collaboration software with educational platforms is ensuring seamless video streaming and high-quality audio within the LMS. Video conferencing platforms may use proprietary codecs, causing compatibility issues and impacting the user experience. To overcome this, engineering teams can implement transcoding solutions that convert various video formats to a standardized format, enhancing compatibility across platforms.

Additionally, maintaining security and privacy is paramount, as educational environments often handle sensitive data. Engineering teams should focus on encryption standards, access controls, and secure authentication methods to protect users and their information. This might require complying with industry-specific standards like FERPA (Family Educational Rights and Privacy Act) or even HIPAA (Health Insurance Portability and Accountability Act), if it’s used in technical training within Health organizations.

User engagement features such as screen sharing, break-out rooms, and collaborative whiteboards are also important. The challenge here is to ensure that these features work seamlessly within the LMS. This can be achieved by using APIs and SDKs provided by video conferencing platforms, allowing for deep integration into the educational software.

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The key to overcoming these technical challenges lies in careful planning, constant communication with the providers of video conferencing and collaboration tools, and rigorous testing. By prioritizing standards, security, and seamless user experiences, software engineering and product teams can ensure successful integration and enhance the overall education experience.

Technical Concerns on Assessment and LMS Software Integration

Combining Assessment tools with an LMS streamlines the grading process, and students can access results directly through the LMS. If grading is more efficient, students receive timely feedback to improve their performance.

To integrate Assessment and LMS software,  software engineering and product teams must address data synchronization.When students take assessments, their results should seamlessly integrate with the LMS, which can be complex due to variations in data formats and structures. To circumvent this challenge, teams can develop custom connectors or leverage existing APIs to facilitate data flow between the assessment and LMS systems.

Another issue is maintaining real-time data accuracy. For timely feedback and tracking, it’s crucial that assessment results and progress information appear instantly in the LMS. Engineering teams should design integration with efficient data caching mechanisms and regular synchronization to ensure that real-time data remains up to date.

Furthermore, interoperability and compatibility with various assessment types and formats (e.g., quizzes, essays, multiple-choice questions) must be addressed. Standardized formats like IMS QTI can help ensure that assessments from different sources work cohesively within the LMS. Cross-platform compatibility should also be a priority for a consistent user experience.

By addressing these challenges through thoughtful design, the use of standardized formats, and diligent testing, software engineering and product teams can achieve seamless integration of Assessment and LMS software, enhancing the overall educational experience for students and instructors.

Thoughts on Integrating eLearning Authoring and LMS

eLearning content created with authoring tools can be directly uploaded to an LMS, providing interactive learning resources. With this, students have access to more engaging learning materials, accessible within their courses, hopefully enhancing their understanding of the material.

Integrating eLearning Authoring tools with the LMS must go through ensuring compatibility and consistent content rendering. eLearning content often includes multimedia elements, interactive features, and complex formatting. To circumvent potential issues, engineering teams should design the integration to support popular eLearning content standards like SCORM or xAPI, ensuring seamless display and interactivity.

Another concern is managing user access and permissions. eLearning content may require specific permissions for different users or groups within the LMS. Teams should develop robust authentication and access control mechanisms, which can be achieved through Single Sign-On (SSO) solutions and role-based access controls.

Interoperability is key, given the variety of eLearning authoring tools available. To address this, teams should focus on LTI (Learning Tools Interoperability) standards to ensure a wide range of eLearning tools can be integrated smoothly. Compatibility with different file formats for authoring tools and supporting media (audio, video, documents) is also essential.

Lastly, data tracking and analytics should be addressed. Integrating eLearning content should allow for seamless data transfer and tracking of user progress, quiz results, and completion status. This can be accomplished through robust API connections and data management.

By addressing these challenges, engineering and product teams can create a successful integration between eLearning Authoring tools and LMS, offering educators and learners a more cohesive and engaging eLearning experience.

Achieving Successful EdTech Integrations:

The fusion of various tools, platforms, and applications promises an enriched educational experience for students and educators alike. However, achieving these successful integrations is a complex endeavor that requires a well-structured approach. Let’s explore how various roles in educational institutions can navigate this journey by following key steps in the SDLC (Software Development Life Cycle).

• Assess Needs: Identify the specific needs of your institution and prioritize integrations that will benefit both educators and students. The process begins with Educational Technologists assessing the specific needs of their institution. These professionals collaborate with teachers, students, and administrators to identify pain points and opportunities for improvement. This stage aligns with the early stages of the SDLC, akin to the project initiation phase, where requirements are gathered and analyzed.
• Choose Compatible Software: Ensure that the selected software categories are compatible and can seamlessly work together. ​​With an understanding of institutional needs, the IT Director takes the lead in selecting compatible software categories. This involves evaluating various options, considering factors like scalability, security, and user-friendliness. The IT Director’s role aligns with the requirements and planning phases of the SDLC.
• Provide Training: Offer comprehensive training for educators and staff to maximize the use of integrated software. Instructional Designers step in to ensure that educators and staff are well-prepared to make the most of the integrated software. This involves the creation of training materials, workshops, and support systems. The training phase aligns with the development phase of the SDLC, ensuring that the workforce is ready to utilize the integrated tools.
• Continuous Evaluation: Regularly assess the effectiveness of integrations and make adjustments as needed. Data Analysts play a vital role in the ongoing evaluation of integrations. They monitor the effectiveness of these systems, gathering data on usage, performance, and outcomes. This role parallels the testing phase in the SDLC, ensuring that integrations meet their objectives.
• Data Security: Maintain strong data security protocols to protect student information across integrated systems. Maintaining robust data security across integrated systems falls under the purview of the Chief Information Security Officer. This role is responsible for establishing and maintaining security protocols to protect student information. In the SDLC, data security aligns with the security and maintenance phase, ensuring the safety and integrity of the integrated systems.

When Educational Technologists, IT Directors, Instructional Designers, Data Analysts, and Chief Information Security Officers collaborate effectively through each step of the integration process, educational institutions can harness the full potential of technology for the benefit of both educators and students.

Revolutionizing Education for a Connected Future

The synergy of EdTech integrations is revolutionizing education by creating connected, efficient, and personalized learning experiences. A diverse array of software categories, when thoughtfully integrated, empowers both educators and students. By recognizing the importance of seamless integration and taking the necessary steps to achieve it, educational institutions can embrace the full potential of EdTech and shape the future of learning. To ensure you have the right folks by your side to make it happen, talk to Ubiminds. 

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With almost a decade of experience in supporting leading EdTech businesses in the U.S. and Canada, Ubiminds is your trusted partner in navigating the evolving landscape of educational technology. We understand the importance of expanding your product and engineering teams with individuals who not only shine in interviews but excel in their roles. Our commitment to safeguarding your organization, product, and culture is underscored by our Legal, Accounting, and PeopleOps add-ons. With compliance measures that meet SOC-2 and FERPA requirements, we offer comprehensive support, shielding your organization from liability and ensuring your RFPs are met with confidence. Be a part of the future of education with Ubiminds, your ally in scaling operations in LatAm.

Scheila Farias Silveira

International Marketing Leader, specialized in tech. Proud to have built marketing and business generation structures for some of the fastest-growing SaaS companies on both sides of the Atlantic (UK, DACH, Iberia, LatAm, and NorthAm). Big fan of motherhood, world music, marketing, and backpacking. A little bit nerdy too!

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Trend #1: Full Focus on EdTech’s Dual Mission: Nurturing Profit and Social Good

EdTech companies are committed making a positive difference both in education and in society as a whole. This dual mission sets EdTech ventures apart as socially responsible innovators. An easy argument in pro of this would be the implication that a more educated person has better job prospects and joins a more qualified workforce, in turn resulting in poverty reduction.

Why Does the Double Bottom-Line Matter?

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What Comes Next?

The future of EdTech is in striking a balance between impact and profit. Investors are increasingly looking for opportunities that provide a meaningful societal impact while ensuring financial sustainability. Leadership in EdTech can use the company’s mission for branding strategies, but also to prospect team members, business partners, and even vendors.

Trend #2: Investing for Impact: New Opportunities for Funding Innovation

Impact investing is the deliberate allocation of capital to initiatives that promise financial returns and a significant societal footprint. This approach aligns profit with social responsibility and emphasizes both short-term and long-term impacts on education and the broader social structure. Most importantly, this trend challenges the notion that profit and social impact are mutually exclusive.

The rise of impact investing and socially responsible investment strategies means that there is a growing pool of investors looking for opportunities that align with their values. Due to this, the current scenario is one of increased access to capital – after all, impact investors are specifically interested in supporting ventures that generate both financial returns and positive social or environmental impacts. 

Why Does Impact Investing Matter? 

What Comes Next? 

The future of EdTech investment lies in dual-focused impact and profitability. Investors are increasingly looking for opportunities that provide a meaningful societal impact while ensuring financial sustainability. CEOs in the EdTech sector should embrace impact reporting as a means to distinguish their companies and use it as a selling point when applying for funding. 

“Data that are disaggregated by income, race (particularly in the US), or other indicators of historical marginalization (such as place of origin, language, disability, gender, caste, or tribe) where the organization operates are also important.”, The Bridgespan Group reminds us.

Trend #3: EdTech Mission and Purpose Impacting Business and Product Strategies

Impact investing is driving EdTech to rethink its business and product strategies. It’s reshaping decision-making by emphasizing a dual mission of profitability and societal change. This approach influences everything from financial stability to the immediate and long-term impacts on education and social structures.

Why Does this New, Broader Way of Thinking Matter for Software Companies?

What Comes Next?

EdTech businesses are increasingly making decisions with a broader vision of success. This means that product development is driven by the need to support educators in achieving better results, addressing specific learning challenges, and advancing educational objectives. Software teams such as Product and Engineering need to consider not only UX/UI and overall System Performance, but also how their products and services can lead to better learning outcomes, more equitable access to education, and other societal benefits. 

It also means that businesses in the EdTech sector are adopting ethical and responsible practices in their product development, data handling, and business operations. They take care to address privacy concerns, accessibility, and ethical considerations, aligning their actions with their mission to make a positive impact.

Trend #4: Growing Use of AI, Design Thinking, and Computational Thinking in Education

EdTech’s roadmap includes the seamless integration of Artificial Intelligence (AI), Virtual Reality (VR), Design Thinking, and Computational Thinking. It’s about leveraging these technologies and methodologies to reshape the EdTech landscape, delivering enhanced learning experiences and innovative solutions. 

In the coming years, emerging technologies will play a pivotal role in transforming how educators and learners interact with content and each other. Personalized learning, intelligent agents, and innovative use cases, such as avatar creation, learning style recommendations, and documentation, will become the norm in EdTech.

Why Does This Advancement in Tech Matter for Education?

The integration of AI and design thinking in EdTech signifies a significant shift in education. It equips educators and learners with advanced tools, interactive experiences, and transformative content interactions. This fusion opens up new possibilities for EdTech, from AI-driven personalization to enhanced learning styles.

Another important aspect of this is that these approaches are equipping students with the skills needed for tomorrow’s job market. As EdTech continues to evolve, these methodologies will play a central role in preparing students for the future.

What Comes Next?

The future of EdTech lies in the widespread adoption of new technology, reflecting experiences of other online services. It promises to revolutionize education through virtual reality, generative AI, and improved legal frameworks. 

Sounds exciting, doesn’t it? CEOs in the EdTech sector should recognize the potential of these technologies to redefine their products and secure their place in a dynamic industry.

Trend #5: We Won’t be Free from the Integrations Hassle Any Time Soon

Integrations have long been a pain point in the EdTech world. EdTech products often need to integrate with Learning Management Systems (LMS), Student Information Systems (SIS), assessment platforms, content libraries, and more.  To provide an exceptional experience for students, educators, administrators, and school districts, EdTech professionals are working on creating robust integration solutions. 

Standards like Learning Tools Interoperability (LTI) and Common Education Data Standards (CEDS) provide a framework for better data exchange. Still, in 2024 and beyond, we need significant advancements in integration technologies and practices, making it easier for different platforms to work together seamlessly.

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Why Are Integrations Critical?

What’s Next

EdTech companies can expect trends like Open Standards for Education (OSE) and the growth of application marketplaces in educational ecosystems. To benefit from this scenario, CEOs should:

In summary, the world of EdTech is rapidly evolving, with numerous trends reshaping the future of education. From a double bottom-line focus to AI integration, inclusive design, and impact investing, these trends are set to revolutionize how we teach and learn. As we move into 2024 and beyond, it’s essential for educators, students, and EdTech professionals to stay informed and adapt to these transformative changes. The future of learning is on the horizon, and it promises to be exciting for those who will continue to evolve and adapt – and we’re all here for it!

Scheila Farias Silveira

International Marketing Leader, specialized in tech. Proud to have built marketing and business generation structures for some of the fastest-growing SaaS companies on both sides of the Atlantic (UK, DACH, Iberia, LatAm, and NorthAm). Big fan of motherhood, world music, marketing, and backpacking. A little bit nerdy too!

O post 5 EdTech Trends for 2024 and Beyond: AI, Impact Investing, and More apareceu primeiro em Ubiminds.

In this article, we’ll delve deeper into how EdTech is changing the way we approach education, society, and innovation. We’ll explore its role in creating sustainable educational experiences, fostering permissionless innovation, and driving both short-term and long-term social change. Join us on a journey to understand the multifaceted impact of EdTech on the world of education and beyond.

Why is EdTech Transformational for Society?

According to experts, missing school equates to about a $30,000 penalty per year missed in terms of future earnings. The Graduation Alliance concludes high school dropouts can expect to lose approximately $260,000 in lifetime earnings. These and other stats were compiled by Invisible People TV, a nonprofit dedicated to educating the public about homelessness through innovative storytelling, news, and advocacy.

Looking at these numbers, it’s easy to understand EdTech’s transformative potential. It affects society directly through improved accessibility, personalized learning, economic empowerment, and lifelong learning. Additionally, it indirectly empowers teachers, enhances data-driven insights, promotes research and development, and contributes to social transformation. 

These impacts can be seen in both the short and long term, shaping the future of education and society as a whole. We can assess this as a matrix:

How exciting is that?

Getting Specific: In Which (Maybe Unforeseen) Ways do Tech Companies Enable Outstanding Education?

Building on the transformative potential of EdTech and its impact on society, let’s explore how tech companies play a pivotal role in enabling outstanding education.  By collaborating with educators and investing in innovative solutions, tech companies have the power to redefine learning. 

First, EdTechs spearhead a cultural shift, especially compared to the industrial-age style that is still too frequent in schools around the world. These companies can transform student and educator experiences by

1. Holding themselves accountable, especially through Quality Control. That is, ensuring that EdTech tools maintain high educational standards, fostering outstanding learning outcomes.
2. Supporting research on how to improve learning outcomes. In other words, collaborating with educational institutions to conduct research on the impact of technology on learning and adapting their products accordingly.
3. Investing in Professional Development of its users. A huge part of user adoption and customer success stems from offering training and professional development for educators to maximize the potential of technology in the classroom.
4. Incentivizing Community Engagement. EdTech provides the means for fostering communities and networks of educators, students, and parents to share best practices and provide support.

Second, this unfolds into everyday practices that ripple through student’s lives and careers. Let’s delve into some practical examples of how the impact of the use of technology (and the intervention of EdTech companies) unfold:

Example 1: Fostering Engagement and Critical Thinking

Tech companies can develop interactive learning platforms that engage students actively in their education. For instance, consider an AI-driven platform that allows students to solve real-world problems, like designing solutions to environmental challenges. By immersing learners in such hands-on experiences, tech companies enable outstanding education by fostering critical thinking, problem-solving skills, and real-world relevance.

Example 2: Personalizing Learning Pathways

Tech companies often provide tools that adapt to individual student needs. Let’s take the example of an adaptive learning platform used in K-12 education. This technology assesses each student’s proficiency in various subjects and tailors lessons accordingly. It provides additional resources and support where needed, creating personalized learning pathways that lead to deeper understanding and academic excellence.

Example 3: Facilitating Professional Development for Educators

Outstanding education requires outstanding educators. Tech companies can offer professional development opportunities for teachers. For instance, a tech company might provide an online portal with courses and resources on the latest teaching techniques, allowing educators to continually enhance their skills and keep up with educational trends.

Example 4: Promoting Accessible and Inclusive Education

Tech companies have the capacity to make education accessible to all learners. Take, for instance, the development of assistive technology for students with disabilities. By creating screen readers, captioning tools, and adaptive input devices, tech companies empower students with diverse needs, ensuring inclusivity in education.

Example 5: Supporting Research and Innovation

Tech companies can fund research projects that lead to innovations in educational content and methods. For example, a tech company might sponsor a study on the effectiveness of gamification in teaching complex concepts. This research contributes to improved teaching strategies and benefits both educators and students.

In this ever-evolving educational landscape, tech companies have the unique opportunity to become true partners in driving outstanding education. By creating engaging, personalized learning experiences, facilitating professional development for educators, promoting inclusivity, and investing in research, they can shape the future of learning. Tech companies are more than just providers of tools; they are enablers of innovation and excellence in education.

Arguments for Permissionless Education Innovation

All this said, there’s a need to make EdTech more widely spread. This move toward permissionless education innovation seeks to unlock the full potential of EdTech, providing opportunities for everyone. Importantly, it’s a path that doesn’t compromise the sustainability of EdTech companies but, rather, can enhance their long-term viability. Permissionless education innovation encourages exploration and experimentation in educational technology, offering several compelling arguments:

1. Fostering Innovation: Allowing tech companies and innovators to experiment and innovate freely can lead to the discovery of groundbreaking solutions that transform education.
2. Open Access: It ensures that educational resources are open and available to all, irrespective of their geographical or economic status.
3. Adaptation to Rapid Changes: Permissionless innovation allows for quick adaptation to new needs and challenges, which can be critical in crisis situations like pandemics.

By embracing these principles, EdTech can be sustainable, transformational, and outstanding while fostering permissionless education innovation that leads to exciting breakthroughs. 

A Glimpse into the Future of Permissionless EdTech

Permissionless education innovation means breaking down barriers that might restrict the development, deployment, or accessibility of EdTech solutions. This approach aims to ensure that valuable educational tools are not locked behind proprietary restrictions, costly licensing fees, or limited access.

Example 1: Open Educational Resources (OER)

In practice, permissionless EdTech can involve the creation and sharing of open educational resources (OER). OER are freely accessible materials that educators can use, adapt, and distribute. You can draw inspiration from UNESCO’s playlist on the topic, available here:

By encouraging OER, EdTech companies contribute to the collective knowledge and empower educators worldwide. This is especially necessary considered that the public-school student-teacher ratio dropped from 15.9 in fall 2019 to 15.4 in fall 2020, the lowest since 2009. Educators are few, exhausted, and in dire need of resources that make their lives easier.

Example 2: MOOC Platforms and Free Courses

Leading EdTech companies offer Massive Open Online Courses (MOOCs) with free access to course content. While they may charge for certifications or advanced features, the core educational content remains accessible to anyone. For instance, Coursera and edX provide this option, making high-quality education available to a global audience.

Example 3: Collaboration with Open-Source Communities

Tech companies can collaborate with open-source communities to develop educational software and tools. This cooperative approach facilitates innovation, reduces costs, and makes EdTech solutions freely available. For instance, Moodle, an open-source learning platform, relies on contributions from developers worldwide.

Example 4: Supporting Non-Profit Initiatives

Tech companies can actively support non-profit organizations focused on enhancing education. By donating resources, offering technical expertise, or providing infrastructure, they ensure that innovative educational solutions are available to a broader audience.

Example 5: Accessibility Features for Diverse Needs

EdTech companies can invest in building accessibility features into their software, ensuring that learners with disabilities have equal access to education. This commitment to accessibility broadens the reach of EdTech and emphasizes the importance of making technology available to all.

Permissionless education innovation is not only a moral imperative, but also a strategic move that benefits EdTech companies in the long run. By making education more accessible, fostering open resources, and collaborating with open-source communities, tech companies can grow their potential market to a much larger audience, or find specific niches that can actually boost profit margins. It’s a journey that aligns profitability with social impact, promising a future where education knows no bounds.

Can EdTech-Building Be Even More Sustainable?

As we continue our exploration into EdTech’s multifaceted impact, we arrive at the critical juncture of sustainability. EdTech companies have the potential to go beyond profitability and social impact, striving to achieve the triple bottom-line, as recommended by UNDP’s goals and GRI reporting. These ambitious sustainability objectives can be tailored for early-stage startups, small and medium-sized businesses (SMBs), and enterprise companies, contributing to a more sustainable educational landscape while securing their own future success. EdTech can be more sustainable by:

• Reducing Digital Waste: Building platforms and apps that don’t become obsolete quickly, minimizing the need for constant updates and replacements.
• Eco-Friendly Infrastructure: Utilizing green data centers and adopting sustainable practices in software and hardware development.
• Investing in Lifelong Learning: Promoting continuous learning for students and educators to ensure that technology remains relevant throughout their lives.

Initiating Sustainability for Every Tier of EdTech

Sustainability objectives are not limited to giant corporations. They can be adapted for all EdTech players, from early-stage startups finding their footing to established enterprises with broader influence. Here’s how sustainability goals can be pursued at each tier:

How Inspired Are We?

EdTech’s transformative potential is not confined to innovation and profit; it extends to a much broader mission. EdTech companies of all sizes can uphold profitability, make a meaningful social impact, and champion environmental sustainability. This holistic approach promises to shape a future where education is equitable, accessible, and conscious, while securing a brighter financial future for EdTech as well.

However, these endeavors are only as strong as the team behind them. To succeed in these goals, it’s crucial to bring in mission-aligned team members who share the passion for sustainability and innovation. If your EdTech company is looking to recruit dedicated professionals who are committed to your mission, consider reaching out to Ubiminds. Our team can help you find the talent you need to drive your EdTech initiatives forward, transforming the landscape of education and securing a brighter future for your company and society.

Scheila Farias Silveira

International Marketing Leader, specialized in tech. Proud to have built marketing and business generation structures for some of the fastest-growing SaaS companies on both sides of the Atlantic (UK, DACH, Iberia, LatAm, and NorthAm). Big fan of motherhood, world music, marketing, and backpacking. A little bit nerdy too!

O post The Edtech Double Bottom Line: Sustainable, transformational, outstanding, and permissionless education innovation apareceu primeiro em Ubiminds.

Addressing Inequities in Education Access

In the United States, disparities in education access have long been a concern. Factors such as income, location, and resources significantly impact a student’s ability to access quality education. Rural communities may lack advanced courses, students from low-income families may not have access to necessary educational tools, and students with disabilities may face additional barriers. These disparities limit opportunities and can lead to unequal outcomes.

A 2020 article published by the UN exemplifies the staggering differences in access to learning. “It would take 15-year-old Brazilian students 75 years, at their current rate of improvement, to reach wealthier countries’ average scores in math, and more than 260 years in reading”, it reads.

In the United States, access to education is still not equitable. According to the Census Bureau, the highest level of education in the country is: 

• 9% had less than a high school diploma or equivalent.
• 28% had high school as their highest level of school completed. 
• 15% had completed some college but not a degree.
• 10% had an associate degree as their highest level of school completed.
• 23% had a bachelor’s degree as their highest degree.
• 14% had completed advanced education such as a master’s degree, professional degree or doctorate. 

Further, we can verify a correlation to employability and income. For instance: looking at 2020 and 2021 data, we see that the mean nominal earnings of workers age 18 and older:

• rose about $2,500 for people who did not have a high school diploma or GED;
• rose $6,900 for people whose highest credential was a bachelor’s degree.

This means that facilitated access to high-quality education is, indeed, deeply necessary. Technology is, quite possibly, a way to jumpstart this positive transformation. 

The Promise of Technology in Achieving Equitable Education

Through personalized learning, virtual classrooms, and accessible digital resources, technology can address many of the challenges that have historically hindered equitable education access. Now, Artificial Intelligence (AI) and technology are offering innovative solutions to level the educational playing field:

• Personalized Learning: AI-powered platforms enable personalized learning experiences for individual students, offering additional support to those who may require it. This adaptability ensures that students receive the help and resources they need to succeed. 
• Virtual Learning: EdTech Solutions empower students to access educational content and resources from anywhere at any time,  reducing the impact of geographical location and connectivity on educational opportunities.
• Accessibility Tools: Technology can provide tools that cater to various learning styles and abilities, ensuring that all students can access educational content.

As we explore the role of AI in education, we’ll examine how technology can empower students, educators, and institutions to work collectively in reshaping education, transcending boundaries, and fostering a more equitable learning environment.

First Things First: Decoding Education Sectors for EdTech Solutions – Modern Needs Demand Fresh Approaches

In the pursuit of equitable education, understanding the distinct needs of various educational sectors is paramount. Modern times call for fresh, innovative approaches to address the unique challenges faced by Pre-K, K-12, HigherEd, Adult Learning, and Workforce Learning segments. The key to unlocking the potential of Technology in Education lies in segment-specific insights and an awareness of how different audiences interact with these transformative technologies.

Segment-specific Needs and Solutions

Each educational segment brings its own set of challenges and demands. For instance, Pre-K education requires intuitive and engaging platforms to kickstart a child’s learning journey. In K-12, adaptive learning systems help students master subjects at their own pace. Higher education institutions rely on sophisticated data analytics to drive retention and success. Adult Learning often needs flexible, accessible tools, while Workforce Learning requires lifelong learning solutions to adapt to an ever-changing job market.

• Pre-K: Young learners need interactive, engaging content tailored to their developmental stage. EdTech provides interactive apps, games, and e-books that promote early literacy and numeracy.
• K-12: K-12 students require personalized learning experiences. Adaptive learning platforms use AI to tailor content and assessments to individual student needs.
• HigherEd: Higher education students seek personalized journeys with flexible options. AI-driven chatbots provide course recommendations and answer queries in real-time.
• Adult Learning: Adult learners benefit from flexible online platforms. EdTech companies offer personalized courses and skill development opportunities for working adults.
• Workforce Learning: Employees need upskilling opportunities. AI identifies skill gaps and delivers targeted training programs, aligning with career objectives.

Audience Interaction with EdTech

Students, educators, administrators, districts, parents, and even companies interact with EdTech in distinctive ways. Understanding the digital literacy levels, openness to product-driven changes, and recognizing where they fall within the innovation adoption lifecycle is crucial for tailoring EdTech solutions effectively. Building a comprehensive picture of audience interactions is the first step toward delivering meaningful, innovative learning experiences.

• Students: Digital natives embrace technology but vary in digital literacy. EdTech must balance innovation with user-friendly design.
• Educators: Teachers welcome tools that enhance the teaching process, but training is essential for smooth adoption.
• Administrators: School administrators need data-driven insights for effective decision-making.
• Districts: Districts seek centralized platforms to streamline operations and improve communication.
• Parents: Parental engagement tools should be user-friendly to foster collaboration.
• Companies: Corporate learning departments are adopting AI for employee training but require solutions that integrate with existing processes.

By catering to the specific needs of each segment and adapting to the various interactions within the education ecosystem, EdTech companies can create meaningful and transformative solutions that advance equitable education delivery.

Data Meets GenAI: Turning Data into Education Intelligence

A robust data strategy is essential for unlocking AI’s potential in education. Educational organizations can leverage data to:

1. Manage Teams: Use data to evaluate the performance of teachers and administrative staff, providing targeted support and training.
   1. Done Right: A school district uses data to assess its teachers’ professional development needs accurately. With this insight, they offer targeted training sessions, resulting in improved teaching quality and student outcomes.
   2. Done Wrong: In another district, data remains siloed, preventing a comprehensive assessment of teaching effectiveness. This lack of data utilization leads to ineffective professional development programs and stagnant student performance.
2. Deliver Better Experiences: Personalize learning experiences based on student data, increasing engagement.
   1. Done Right: A university employs data analytics to personalize its online course recommendations for students. Learners receive tailored suggestions, increasing engagement and academic success.
   2. Done Wrong: Without data insights, this same university provides generic course recommendations. Students often end up enrolling in irrelevant courses, leading to disengagement and higher dropout rates.
3. Achieve Better Learning Outcomes: Data Intelligence-driven analytics provide real-time insights, enabling educators to identify students at risk and intervene early, improving academic performance.
   1. Done Right: An EdTech company utilizes a unified data strategy to track student progress in real time, identifying areas where they struggle. This data-driven approach allows the company to develop precise interventions and content adjustments, ultimately improving learning outcomes.
   2. Done Wrong: In contrast, an EdTech competitor fails to leverage data efficiently. As a result, they struggle to address students’ specific needs, leading to lower learning outcomes and a decrease in user satisfaction.

These data-driven insights not only elevate the learning experience for students but also ensure that educators and administrators can make informed, impactful decisions. 

Caveats Before Diving Into the AI in Education Hype

Before embracing the transformative potential of AI in education, there are critical considerations that demand our attention. Keep a watchful eye on two paramount caveats: the privacy protection of student data and the transparency of EdTech decision-making. These cornerstones hold up ethical, equitable, and effective implementation.:

• Privacy Protection for Student Data: AI applications in education should prioritize the privacy and security of student data. Responsible AI use involves implementing robust data protection measures, obtaining proper consent for data collection, and adhering to legal and ethical standards to safeguard sensitive information. This ensures that students’ data is used for educational purposes only.
• Transparency in EdTech Decision-Making: When AI systems are used to make educational decisions, such as admissions or resource allocation, it’s essential to maintain transparency. Responsible AI use in this context requires explaining the criteria and factors that AI systems consider, allowing individuals to understand and challenge these decisions, and ensuring fairness and accountability in the decision-making process.

AI: A Trustworthy Research Resource for Schools, Learning Organizations, and Lifelong Learners

Research in Education plays a pivotal role in shaping learning outcomes and advancing educational organizations. It is already evident that Generative AI tools technologies are more than just innovative gadgets—they are powerful instruments for empowering researchers of all ages. 

In an increasingly data-driven educational landscape, understanding and effectively utilizing data have become central to achieving equitable and efficient learning outcomes. The synergy of data analytics and generative AI tools offers transformative potential to education, provided we harness them correctly. But how can we tangibilize the transformative impact of AI as a trustworthy research resource?  

Thus far, Generative AI tools have empowered researchers by

1. Enhancing Research Authenticity: AI-generated content assists researchers in conducting in-depth and reliable research.
2. Reducing Misinterpreted Data: AI-generated research can reduce the risk of misinterpretation and bias, leading to more accurate results.

These tools can aid research-based teams by increasing efficiency and providing reliable data to support evidence-based decision-making. In other words: Generative AI tools have the potential to significantly enhance research authenticity by providing researchers with well-structured, data-driven content. When correctly employed, AI-generated content can support researchers in their quest for comprehensive, reliable, and bias-free research, fostering a culture of critical thinking and exploration.

However, misusing AI in research can lead to the generation of misleading or biased content, potentially tainting the research process and its outcomes. When AI-generated content is employed irresponsibly, it can result in misinterpretation, inaccuracy, and a lack of credibility in the research, ultimately diminishing its value and hindering the culture of exploration and critical thinking.

By harnessing the capabilities of generative AI, educators, students, and institutions alike have gained access to authentic, reliable research, thereby fostering a culture of critical thinking and exploration.

The AI Advisor: Revolutionizing Student Guidance

The role of AI in education extends far beyond mere technology—it’s about reshaping the way we provide Student Guidance on their educational journey. AI extends beyond technology through a “defensive UX” strategy. It focuses on:

In an increasingly digitized educational landscape, the AI advisor stands as a symbol of how human-centric design, data-driven insights, and responsible AI practices can come together to redefine student guidance. With real-world examples of AI advisors transforming the student experience, it’s clear that a harmonious fusion of AI, data, and human-centric design is the future of education.

Scheila Farias Silveira

International Marketing Leader, specialized in tech. Proud to have built marketing and business generation structures for some of the fastest-growing SaaS companies on both sides of the Atlantic (UK, DACH, Iberia, LatAm, and NorthAm). Big fan of motherhood, world music, marketing, and backpacking. A little bit nerdy too!

O post Can AI Make Access to Education More Equitable? How to Transform Learning for All apareceu primeiro em Ubiminds.

Understanding Tech Debt: Common Causes That Lead to Accumulation

“Guest Post by Joel Hames, CPO at Subject and an EdTech Veteran.”

Technical debt is a natural, normal, and expected consequence of our velocity. In my experience building products across multiple companies, I’ve heard characterized as something to be feared. Quite the opposite, I believe that it represents two critical things: first, the focus on value delivery to users. As we build, we learn, iterate, and update. That creates debt. And it’s exactly the right kind of debt. Second, what we build today isn’t what we’ll need tomorrow. Needs will change. We’ll scale. All of that is normal, and in no way should tech debt be seen as anything other than something you strategically address as you grow – a principle that applies to the construction of just about anything we can imagine.

For just a bit more context: The need for speed – moving fast and iterating – is probably the biggest factor in the accumulation of debt. When you’re iterating rapidly and racing to beat competitors to market and delight your users, things like code quality, documentation, and technical best practices evolve and you practice trade-offs. You have to accept a certain amount of tech debt as the cost of validating ideas quickly in the marketplace.

There are other factors, too. At my startups, we often have small engineering teams, limited resources, and evolving requirements. Engineers are often learning and adapting on the fly, which can lead to experimental architectures that become debt later. Evolving product requirements result in quick changes to the code rather than block thoughtful refactoring. When engineers are heads-down delivering features, it’s hard to take a systems view of how work in one area impacts the broader codebase.

While some tech debt is expected, the key is quantifying it so you can make informed trade-offs. We need to have visibility into our debt, where it’s concentrated, and how it impacts velocity over time. This allows us to take a measured approach to paying down debt where it matters most while accepting it in less critical areas that aren’t slowing us down. Moving fast and managing tech debt aren’t mutually exclusive – it’s about finding the right balance for the stage and goals of the company.

Prioritizing Tech Debt: Impact on Overall Product Development Process, Challenges, and Strategies for Assessment and Prioritizirization

Managing tech debt is an ongoing challenge. But you can meet this challenge by prioritizing it based on data.

First, it’s critical that engineering can provide visibility into our debt – where it lives, its severity, and how it impacts velocity. This helps map its remediation to the product roadmap in a way that’s clear and rational. For example, debt that hinders the development of a high-priority initiative gets prioritized. Debt that creates fragility in our infrastructure that can impact our ability to deliver a stable system also gets prioritized.

My framework is simply to categorize debt as immediate, medium-term, and long-term. Immediate debt needs fixing now because it directly slows feature work. Medium-term debt may cause headaches but isn’t blocking things just yet. And long-term debt can be addressed when we have some breathing room.

This segmentation allows us to build tech debt remediation into the roadmap. We know it will always be a factor, so new feature work is planned with an allowance for both reducing debt and adapting to it. Planning for a 20% debt management tax, for example, bakes it into the process.

No framework is perfect, but having a data-driven process aligned to the roadmap has helped us balance reducing debt while still delivering new customer value at the velocities a startup needs.

Collaboration between product, design, and engineering is crucial to tackle tech debt

It feels a bit redundant and simple to say it, but I will: any work that devalues collaboration and communication is bound to failure. We build great things because of our combined work, not in spite of it. For technical debt challenges, we aspire to open, clear, and honest conversations that surface and rationalize our remediation. A few things I’ve found particularly effective include:

It’s easy to fall into the trap of believing that technical debt is the responsibility of engineering, exacerbating the idea that engineers solve debt. What is critical is creating a culture where reducing debt is everyone’s responsibility. How we prioritize our roadmap, solve problems for our users, grow our company, resource our teams, and manage our technical delivery, all impact our relationship with debt. With open channels for collaboration and transparent data, you get better ownership and outcomes.

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Balancing New Features and Tech Debt: How to Strike a Balance

Wouldn’t it be great to build new features, and never make mistakes, build debt, or worry about scale? That’s not the real world, and frankly, if we had that, we’d be moving way too slowly to grow a business. So we have to balance these carefully, not as two halves of a whole, but rather as two pieces of a puzzle that are required, but can be placed at different times to create the whole thing.

Ultimately, this is an art and not a science. It requires taking a data-driven approach to understand when debt reaches a tipping point of impeding delivery speed or quality. Some guiding principles are:

To give a real-world example, I have built multiple LMS systems, each starting from a basic proof-of-concept back-end that carried heavy dependencies on work outside of our control. These weren’t just individual components, but large parts of our architecture were built on platforms from elsewhere. As we grew, these systems strained under load and limited our creative (and quick!) problem-solving. As the impact on our ability to deliver value increased, we shifted to addressing these systems, in both cases building a modern architecture back-end that enabled us to migrate off of the fragile systems we had been using. Addressing this debt was difficult. It required the “slowing down to speed up” mentality, and careful stakeholder management as we worked through the challenges of seemingly ‘invisible’ goals. In the end, it proved worth it. We were able to grow our solutions more quickly, delivering better and more targeted value.

As noted above, this is more an art than a science. But with communication, collaboration, and commitment, you can navigate this as a product leader and generate outsized returns for your users, and your business.

Looking to find the balance between innovation and managing tech debt in your EdTech? Ubiminds is here to assist you in connecting with top-notch talent specifically suited for EdTech companies.

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Why Choose Ubiminds?

Specialized Expertise: What sets us apart is our focus on building teams for EdTech companies. Our extensive knowledge of this field ensures that we deliver results.

Risk Free: When you choose Ubiminds you can confidently explore horizons and expand your EdTech initiatives. We take steps to mitigate risks ensuring your success along the way.

Don’t settle for generalist recruiting firms. Let’s build stronger teams together with genuinely collaborative, mission-oriented, full-time-like people who are passionate about transforming the world through education. Reach out to us to get started!

FAQ on Technical Debt

What is technical debt?
Technical debt is a metaphor used to describe the consequences of making suboptimal engineering decisions or shortcuts to accelerate development. It often involves choosing a solution that is easier or faster in the short term but may lead to problems later on.

Why does technical debt occur?
Technical debt can occur for several reasons, including:

• Time pressure: When deadlines are tight, developers may opt for quick solutions that are not well-structured or maintainable.
• Lack of knowledge or experience: Developers may make mistakes due to a lack of understanding or expertise.
• Changing requirements: If project requirements change frequently, it can be difficult to keep the codebase clean and well-structured.

What are the consequences of technical debt?
Technical debt can have several negative consequences, including:

• Increased development costs: Fixing technical debt can be expensive and time-consuming.
• Delayed releases: Technical debt can slow down development and prevent projects from being completed on time.
• Decreased quality: Technical debt can lead to software bugs, security vulnerabilities, and other quality issues.
• Reduced maintainability: Technical debt can make it difficult to maintain and update the software.

How can I avoid technical debt?
Here are some strategies for avoiding technical debt:

• Prioritize code quality: Write clean, well-structured code from the beginning.
• Conduct regular code reviews: Have other developers review your code to identify potential issues.
• Test thoroughly: Conduct thorough testing to identify and fix bugs early on.
• Refactor regularly: Refactor your code to improve its structure and maintainability.

How can I manage technical debt?
If you have accumulated technical debt, it’s important to have a plan to address it. Here are some strategies:

• Prioritize refactoring: Identify the most critical areas of technical debt and prioritize refactoring efforts.
• Allocate resources: Allocate sufficient time and budget for refactoring.
• Involve the entire team: Make sure that all team members are aware of the technical debt and are committed to addressing it.

Joel Hames

Joel Hames serves as the Chief Product Officer at Subject, where he leads a diverse team of product managers, engineers, designers, and educators. Together, they craft inventive solutions that harmonize the design language of students with the educational requirements of schools. With over 28 years of experience in education, Joel is dedicated to addressing real-world challenges for users while enhancing user satisfaction and engagement.

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How to Build High-Performance Software Teams for EdTechs

If you’re transitioning to a tech leadership position in an Education Technology (EdTech) company, there are several aspects specific to the industry to become aware of. Here, we compile a series of relevant info on the educational market’s needs and regulatory requirements and give a shout-out to the talented, knowledgeable tech professionals who have a transformative impact on education, enabling broader access, personalized learning experiences, skill development, and economic opportunities.

Educational tech startups, online learning platforms, and educational software companies stimulate economic growth and innovation. On the one hand, they drive entrepreneurial opportunities, job creation, and technological advancements. On the other, they promote lifelong learning by providing flexible education for people at all life stages. This fosters a culture of continuous learning with accessible opportunities. But how does Education Technology work behind the scenes, at product development levels?

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How is Building EdTech Software Different from Other Industries?

Building EdTech applications can be different from building software for other industries due to the unique characteristics and requirements of the education sector. Here are some key differences:

#1 Disperse User Focus

EdTech software typically caters to diverse user groups, including students, teachers, administrators, and parents. Each user group has specific needs and expectations. Designing and developing EdTech software requires a deep understanding of the educational context, user workflows, and the ability to address the requirements of multiple stakeholders.

• Personalized Learning: Edtech platforms facilitate personalized learning experiences by leveraging adaptive learning algorithms and data analytics. Students can receive tailored instruction based on their individual needs, learning pace, and preferences. This personalized approach fosters better engagement, higher retention rates, and improved learning outcomes.
• Enhanced Teaching and Learning Experiences: Edtech tools provide educators with a wide range of resources that help to enhance their teaching practices. It enables interactive and multimedia-rich content delivery, collaborative learning environments, and real-time feedback mechanisms. These tools empower teachers to create dynamic and engaging lessons, increasing student participation and comprehension.

#2 Pedagogical Considerations

Unlike general software, EdTech often integrates instructional methodologies and pedagogical approaches. Developers need to collaborate closely with educators to ensure that the software supports effective teaching and learning practices. Incorporating features like assessments, adaptive learning, multimedia content, and progress tracking are essential aspects of EdTech development.

In fact, Edtech platforms generate vast amounts of data on student progress, learning patterns, and performance indicators. Analyzing this data provides insights to educators, policymakers, and administrators, enabling evidence-based decision-making and targeted interventions to improve educational practices and policies.

#3 Privacy and Security

Educational software handles sensitive student data, such as personal information, grades, and learning analytics. Building EdTech requires strict adherence to privacy laws and security measures to protect student data. Compliance with regulations like the Family Educational Rights and Privacy Act (FERPA) or the General Data Protection Regulation (GDPR) may be necessary.

#4 Accessibility and Inclusivity

Edtech plays a crucial role in expanding access to education, especially in underserved or remote areas. It enables learners to access educational resources, courses, and expertise regardless of location. Online platforms, digital content, and virtual classrooms break down barriers to education, offering opportunities for lifelong learning and skill development.

Building EdTech requires a strong focus on accessibility and inclusivity. Educational software should be designed to accommodate learners with diverse needs, including those with disabilities. Compliance with accessibility standards like the Web Content Accessibility Guidelines (WCAG) is important to ensure equal access to educational resources.

#5 Integration with Education Systems

Edtech tools provide educators with a wide range of resources and instructional aids to enhance their teaching practices. It enables interactive and multimedia-rich content delivery, collaborative learning environments, and real-time feedback mechanisms. These tools empower teachers to create dynamic and engaging lessons, increasing student participation and comprehension.

This said, EdTech software often needs to integrate with existing educational systems, such as learning management systems (LMS), student information systems (SIS), or online assessment platforms. Interoperability and compatibility with these systems are crucial for seamless data exchange and integration with the broader educational infrastructure.

#6 Continuous Learning and Improvement

Education is a dynamic field, and EdTech software needs to adapt to evolving teaching practices, curriculum changes, and emerging technologies. Building EdTech requires a mindset of continuous improvement and the ability to incorporate feedback from users, educators, and researchers to refine and enhance the software over time.

Overall, building EdTech requires a deep understanding of the education sector, collaboration with educators, and a user-centric approach to creating software that effectively supports teaching and learning processes while meeting the unique requirements of the education industry.

EdTech in a Nutshell: How Do EdTech Software Teams differ from Other Software Industries?

EdTech tools support continuing education, professional certifications, and upskilling, enabling individuals to stay competitive and relevant in a rapidly evolving knowledge-based economy. This means accumulating knowledge far beyond tech skills – business acumen, pedagogical knowledge, and empathy with users are core abilities to be developed.

Product, design, and engineering teams in EdTech companies often require specific configurations, traits, and competencies to effectively build educational software. Here are some ways in which these teams differ from those in other software industries:

1. Deep Understanding of the Education Sector: Teams in EdTech need a thorough understanding of the education sector, including pedagogical principles, learning theories, and instructional design. They should be familiar with educational frameworks, curriculum standards, and assessment practices. This knowledge helps them align the software with the specific needs and goals of the education sector.
2. Collaboration with Educators: EdTech teams must collaborate closely with educators, instructional designers, and subject matter experts to ensure the software meets educational objectives. They need to communicate effectively, listen to feedback, and translate pedagogical requirements into actionable product features. This collaboration helps create software that is relevant, engaging, and supportive of effective teaching and learning practices.
3. User-Centric Design: EdTech teams should have a strong user-centric design approach. They must empathize with the diverse user groups in education, such as students with different learning styles, teachers with varying instructional preferences, and administrators with specific administrative needs. Understanding the workflows and pain points of these users allows teams to create intuitive interfaces, personalized experiences, and effective user journeys.
4. Knowledge of Privacy and Security Regulations: EdTech teams must possess a deep understanding of privacy and security regulations specific to the education sector. They should be knowledgeable about laws like FERPA or GDPR and implement best practices to safeguard student data. This includes encryption, data anonymization, secure authentication, and compliance with data retention policies.
5. Pedagogical and Assessment Expertise: EdTech teams should have a solid understanding of pedagogical and assessment methodologies. They need to develop features that support adaptive learning, formative and summative assessments, and data-driven insights for educators. Knowledge of learning analytics, learning management systems, and educational data standards is valuable to building effective educational software.
6. Compliance and Standards Awareness: EdTech teams should stay up to date with compliance standards and educational data interoperability standards like LTI, Common Cartridge, or xAPI. They need to ensure their software adheres to accessibility guidelines like WCAG, as well as other regulations specific to the education industry. Compliance with such standards ensures compatibility, accessibility, and interoperability with other educational systems.
7. Continuous Learning and Research: EdTech teams should have a mindset of continuous learning and research. They should actively seek feedback from educators, students, and researchers, and integrate the latest findings into their product development cycles. Keeping up with emerging technologies, educational trends, and advancements in learning sciences is crucial for building innovative and impactful EdTech solutions.

While some general software development skills are transferable, the unique characteristics of the education sector demand specialized knowledge and competencies from EdTech teams. By combining expertise in education, user-centric design, privacy and security, pedagogy, compliance, and continuous learning, these teams can create high-quality educational software that effectively serves the needs of students, teachers, and administrators.

Need help building and scaling your EdTech’s software team?

Are you a company in the EdTech industry seeking to build and scale your software team? Do you need assistance with recruiting top talent, hiring the right skill sets, managing performance, and staying compliant with industry-specific regulations? If so, you can transform your EdTech software team with our expert guidance.

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Ubiminds’ team of specialists is here to help you navigate the complexities of hiring for Edtech software development. With our deep understanding of the education sector and expertise in building successful Edtech teams, we’re dedicated to helping you boost collaboration and achieve your goals.

By scheduling a call with our specialists, we can build a tailored service to tend to your context. Ubiminds can offer you:

• Talent Acquisition Expertise: Leverage our extensive network and experience in recruiting and hiring professionals with the skill sets essential for EdTech development. We’ll help you identify and attract the right candidates in LatAm – those who possess the unique combination of education, technology, and domain knowledge.
• Performance Management Strategies: Unlock the full potential of your EdTech team through effective performance management techniques. Our specialists will guide you in setting clear goals, establishing feedback mechanisms, and fostering a culture of continuous learning and improvement.
• Scalability and Team Development: As your EdTech company grows, our specialists will help you design scalable team structures, establish efficient workflows, and implement agile methodologies. We’ll work with you to create a culture of innovation and collaboration that propels your software development efforts forward.
• Compliance and Regulatory Guidance: Stay ahead of industry-specific regulations and ensure your EdTech software is compliant with data privacy, accessibility, and educational standards. Our experts will provide valuable insights and assist you in navigating the legal landscape to safeguard student data and meet compliance requirements.

Don’t miss out on the opportunity to transform your Edtech software team and drive your company’s success in the rapidly evolving education landscape. Schedule a call with our specialists today and let us support you in building and scaling your edtech software team to meet the unique demands of the industry. Together, we’ll shape the future of education through innovative technology solutions!

Scheila Farias Silveira

International Marketing Leader, specialized in tech. Proud to have built marketing and business generation structures for some of the fastest-growing SaaS companies on both sides of the Atlantic (UK, DACH, Iberia, LatAm, and NorthAm). Big fan of motherhood, world music, marketing, and backpacking. A little bit nerdy too!

O post The Power of EdTech: Building High-Performance Software Teams for Educational Transformation apareceu primeiro em Ubiminds.