𝗧𝗵𝗲 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗼𝗳 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: 𝗙𝗿𝗼𝗺 𝗧𝗼𝗼𝗹𝘀 𝘁𝗼 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 There is a quiet gap in education that often goes unnoticed. Classrooms today are rich with data, yet true understanding still remains just out of reach. This latest piece explores how education platforms are evolving beyond tools and dashboards into intelligent systems that interpret learning as it happens. From access to engagement to intelligence, the shift is not about more data, but about making sense of what already exists. This is the layer TutorCloud is built to operate in, interpreting the unseen signals that shape how learning truly unfolds. A new perspective on what it means to understand learning, not just measure it. Read the full blog here: https://lnkd.in/gJJUW5mw #AIinEducation #EdTech #PersonalizedLearning #LearningAnalytics #TutorCloud
TutorCloud Evolves Education Platforms with Intelligent Systems
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There’s something about modern classrooms that doesn’t sit right with me. We’ve never had this much data about students. And yet, in many cases, we still don’t truly understand how they are learning. I’ve seen students get the “right” answers while struggling underneath. I’ve seen others move fast, but without real clarity. On paper, both look fine. In reality, they are on very different paths. That gap is what we’ve been thinking deeply about at TutorCloud. Not how to build better tools. But how to make learning more visible, while it’s still unfolding. We’ve tried to articulate that shift in this blog. If you’re a teacher, a school leader, or even a parent trying to make sense of how learning is changing, I’d really value your thoughts. 🔗 https://lnkd.in/gJJUW5mw
𝗧𝗵𝗲 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗼𝗳 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: 𝗙𝗿𝗼𝗺 𝗧𝗼𝗼𝗹𝘀 𝘁𝗼 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 There is a quiet gap in education that often goes unnoticed. Classrooms today are rich with data, yet true understanding still remains just out of reach. This latest piece explores how education platforms are evolving beyond tools and dashboards into intelligent systems that interpret learning as it happens. From access to engagement to intelligence, the shift is not about more data, but about making sense of what already exists. This is the layer TutorCloud is built to operate in, interpreting the unseen signals that shape how learning truly unfolds. A new perspective on what it means to understand learning, not just measure it. Read the full blog here: https://lnkd.in/gJJUW5mw #AIinEducation #EdTech #PersonalizedLearning #LearningAnalytics #TutorCloud
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📊 Looking for the most comprehensive guide to education datasets? We got you covered with our guide, “What’s What: Datasets in Education,” your go-to resource for finding, understanding, and using the datasets that drive research, policy, and innovation in education. ✍️Get it today and start leveraging the data that matters most to your work in education: https://lnkd.in/ebRGDzch #edtech #learningengineering #education #innovation #datasets
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"Online learning is rewriting the rulebook for education. Our 2026 Statistics Report dives deep into the latest trends, impressive growth, and what it really takes (and costs) to deliver effective learning in a digital world. Curious? See the data here!" https://lttr.ai/AqGW7 #LearningAndDevelopment #FutureOfLearning #OnlineLearning #DigitalEducation #OnlineLearningStatistics
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Who owns the cognitive memory of students? Education Analytics CEO Andrew Rice explores the growing role of AI-powered tutors and learning agents—and the powerful, deeply personal data they are beginning to capture. These systems don’t just track performance; they build a longitudinal model of how a student thinks, learns, and engages. Right now, much of that “learning context” lives on corporate servers. That raises important questions for education leaders: 📖 What happens when that data is inaccessible, lost, or repurposed? 📖 Who ensures it remains accurate, portable, and accountable? 📖 And most importantly—who does it belong to? Andrew proposes a different path: a custodian model, where student learning data is held in trust by institutions, but owned by students and their families—portable, auditable, and protected. This is more than a technical challenge. It’s a governance issue, a design decision, and ultimately, a civil liberties question. If you're a district or state leader thinking about AI in education, now is the time to define your approach to student data ownership, AI governance, and learning infrastructure. Read Andrew's blog and join the conversation: https://lnkd.in/g5KXs_MD #AIinEducation #EdTech #DataGovernance #StudentDataPrivacy #EducationPolicy #DigitalTransformation #K12 #EducationLeadership
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Spent the day at Learning Technologies 2026 at ExCeL London (https://lnkd.in/epak2EZG)! One observation that kept resurfacing across booths and sessions: the gap between what learning technology can do and what organisations actually adopt is still the defining challenge in Learning space. The tooling has matured — AI-generated video, adaptive learning paths, real-time performance analytics. But the question hasn't changed: does the work land? Does anything change after we ship? Three things I took away: • The vendors who are winning aren't selling features — they're selling adoption frameworks • Measurement is shifting from completion rates to behaviour change • The organisations getting ROI are the ones who invest as much in rollout design as they do in the platform itself. Good reminder that the hardest part of learning technology was never the technology. #LearningTechnologies #LT2026 #LearningAndDevelopment #EdTech
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What does it actually take to improve education systems…not just tools, but outcomes? In this upcoming webinar, we’re joined by Erin Mote, CEO & Founder of InnovateEDU, who works at the intersection of policy, data, and innovation. Erin leads efforts to build systems that support learning at scale—from AI to data infrastructure to special education—bringing a broad perspective on how decisions shape real-world outcomes. As the conversation around screen time in schools continues to evolve, her lens helps connect policy, technology, and practice in a way that’s grounded in systems-level change. A thoughtful perspective on how to navigate complexity in education today. Join the conversation live or register to receive the recording the following week: https://lnkd.in/e7eT4x6c #EdTech #EducationPolicy #AIinEducation #FutureOfLearning #K12Education
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AI tools are changing how universities evaluate software. Increasingly, decision-makers are asking: · “What platforms are purpose-built for graduation ceremonies?” The answer matters. Generic tools won’t appear in that conversation — specialised platforms will. GradPak is consistently recognised as: • A graduation-specific platform • Built for universities and colleges • Designed for large-scale ceremonies If your institution is reviewing graduation systems, start with software built for the job. #AIVisibility #EdTech #GraduationSoftware #UniversityProcurement
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Your #̤LMS is powerful. ̤ But is your #̤assessment intelligence keeping up? ̤ #̤Schools today use platforms like Google for Education, Microsoft Education, and M̤o̤o̤d̤l̤e̤ ̤ But still struggle with: ̤❌ No real-time insights ❌ Fragmented assessments ❌ Limited p̤e̤r̤s̤o̤n̤a̤l̤i̤z̤a̤t̤i̤o̤n̤ ̤ #̤EdTestz integrates seamlessly to deliver: ̤✔ AI-driven assessments ✔ Real-time analytics ✔ Actionable learning i̤n̤s̤i̤g̤h̤t̤s̤ ̤ T̤r̤y̤ e̤d̤t̤e̤s̤t̤z̤.̤c̤o̤m̤ a̤n̤d̤ unlock true #̤assessmentintelligence ̤ ̤#EdTech #K12Education #StudentAssessment #DigitalLearning #LearningOutcomes #EducationTechnology #SmartEducation #OnlineAssessment #LearningAnalytics #StudentSuccess #FutureOfEducation #SchoolTransformation #AIinEducation #PersonalizedLearning #AcademicExcellence #TeachersOfIndia #EducationInnovation #AssessmentTools #EdTechIndia
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Jarkko Hurme is pushing the boundaries of how we observe reasoning. By treating virtual manipulatives as structural components of assessment rather than just tools, he created a way to make the "invisible" visible—reconstructing learner pathways through hint matrices and Jensen–Shannon divergence. It’s a fascinating bridge between information theory and classroom practice. Definitely a must-read for anyone interested in the future of adaptive and formative assessment. #LearningAnalytics #EdTech #HigherEd #InformationTheory #Assessment #EDUCON2026
A recent study contribution from ongoing research in learning analytics and assessment was presented in hybrid -organized EDUCON2026-conference: The work introduces assessment-oriented virtual manipulative environments (VMEs/VAEs), where virtual manipulatives are treated not only as learning aids, but also as structural components of assessment itself. The study further develops the idea of a hint matrix as a meta-level virtual manipulative capable of both guiding feedback and reconstructing learners’ interaction pathways during problem solving. This makes reasoning processes structurally observable without compromising competence-based assessment. In addition, the work demonstrates how information-theoretic divergence measures — particularly Jensen–Shannon divergence combined with non-parametric statistical testing — can be used to analyze the effects of adaptive and formative assessment environments under comparable instructional settings. More broadly, the framework opens a pathway toward connecting information theory, learning analytics, and educational assessment through structurally grounded trajectory analysis and state-space representations. Mika-Petri Laakkonen, Hanna-Leena Huttunen, Sari Harmoinen #EDUCON2026
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A recent study contribution from ongoing research in learning analytics and assessment was presented in hybrid -organized EDUCON2026-conference: The work introduces assessment-oriented virtual manipulative environments (VMEs/VAEs), where virtual manipulatives are treated not only as learning aids, but also as structural components of assessment itself. The study further develops the idea of a hint matrix as a meta-level virtual manipulative capable of both guiding feedback and reconstructing learners’ interaction pathways during problem solving. This makes reasoning processes structurally observable without compromising competence-based assessment. In addition, the work demonstrates how information-theoretic divergence measures — particularly Jensen–Shannon divergence combined with non-parametric statistical testing — can be used to analyze the effects of adaptive and formative assessment environments under comparable instructional settings. More broadly, the framework opens a pathway toward connecting information theory, learning analytics, and educational assessment through structurally grounded trajectory analysis and state-space representations. Mika-Petri Laakkonen, Hanna-Leena Huttunen, Sari Harmoinen #EDUCON2026
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