New Pub: How Learners Interpret and Respond to Feedback in Learning Analytics Dashboards

New Pub: How Learners Interpret and Respond to Feedback in Learning Analytics Dashboards

Feedback, Journal, New Pub, Self-Regulation
Online learning platforms can generate a great amount of data about how students engage in the learning process. This data is used to develop learning analytics dashboards as feedback tools to assist students in self-regulating their learning. But how do students use these tools to self-reflect? And how can they use the information provided by learning analytics dashboards (LAD) in a meaningful way? In a new publication these questions are explored using the data from an experimental study with 417 students, which investigated how the students interpret and respond to feedback from LADs. In the study,  the students were divided into 2 groups: A treatment group was given personalized self-regulated learning (SRL) feedback from the LAD on the basis of interactions and progress; A control group was given minimal feedback…
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🎮 Can Games Really Help Shape Climate Policy 🌏 ? A Look into Innovative Business Models 🕹️

🎮 Can Games Really Help Shape Climate Policy 🌏 ? A Look into Innovative Business Models 🕹️

Project
As climate change demands urgent and inclusive dialogue, one question becomes more important than ever: How do we bridge the gap between citizens and policymakers ⁉️ One unexpected answer: games 🎮 🕹️ D6.3 Business Models (report from the GREAT project) dives into how companies like SGI and PlanetPlay are using serious games to do just that. These aren’t just entertainment tools — they are platforms for climate engagement, policy exploration, and collective learning. But how can such efforts be sustained? What business models work? And how do you prove value to both players and funders? 🧠 What’s Inside the Report? Business strategies behind game-based climate engagement using three robust frameworks are evaluated: - Business Model Canvas - Value Proposition Canvas - Lean Canvas The project team go beyond theory — using case studies and…
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New Pub: Tracking students’ progression in developing understanding of energy using AI technologies

New Pub: Tracking students’ progression in developing understanding of energy using AI technologies

Artificial Intelligence, Journal, Publication, School
[caption id="attachment_7553" align="alignright" width="400"] Instructional unit, with pre- and post-test, as well as lesson-set-level assessment[/caption] In physics education, some students fail to have the foundational knowledge of energy concepts needed to engage in societal debates on climate change and energy transformation. A newly published study highlights the potential of AI to identify students with different learning trajectories and to help bridge the knowledge gaps. The researchers used a digital workbook designed to teach energy concepts to collect detailed interaction data from over 500 students. After applying exclusion criteria, data from 172 students were analyzed to identify their productive and unproductive learning curves. [caption id="attachment_7554" align="alignleft" width="400"] Example single choice pretest item[/caption] By using machine learning, specifically random forest models, and natural language processing (NLP), the researchers were able to classify…
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A Warm Welcome to Our Guest Researcher Yildiz Uzun

A Warm Welcome to Our Guest Researcher Yildiz Uzun

New Pub
We are delighted to welcome Yildiz Uzun as a guest researcher in our team! Yildiz is a PhD student at the Knowledge Lab, Institute of Education (IOE), University College London (UCL). Her research explores how students regulate their learning with the support of learning analytics feedback in the form of a dashboard, with a particular focus on how they engage with this feedback. She also examines how engagement with analytics feedback can be scaffolded and enhanced through the integration of an Artificial Intelligence (AI) assistant. During her visit to DIPF, she will collaborate with Prof. Hendrik Drachsler and the EduTec team to advance her current AI-driven feedback process by analysing student queries to the AI assistant, evaluating the pedagogical quality of AI responses and identifying ways to optimise conversational systems…
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Current Trends and Future Possibilities for Intelligent Tutoring Systems for Psychomotor Skills

Current Trends and Future Possibilities for Intelligent Tutoring Systems for Psychomotor Skills

Summer School, Workshop
At the 19th EATEL Summer School on Technology-Enhanced Learning (JTELSS 2025) in Rethymno, Crete, Greece, Gianluca Romano and Jan Schneider conducted the workshop "Current Trends and Future Possibilities for Intelligent Tutoring Systems (ITS) for Psychomotor Skills". A Dive into ITS for Psychomotor Skills This engaging workshop offered participants a comprehensive introduction to the ITS framework, specifically focusing on its application in the psychomotor domain. Attendees were immersed in discussions about the critical components of ITS, including feedback mechanisms, technological innovations, and the role of artificial intelligence. One of the key takeaways was the exploration of how feedback can be delivered through various modalities—be it visual, auditory, or haptic. Participants learned how these different forms of feedback can enhance the learning experience, making it more interactive and effective. Harnessing Technology and…
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