New Pub: The Dependency Dilemma of Machine Learning Aids

New Pub: The Dependency Dilemma of Machine Learning Aids

Artificial Intelligence, Journal, New Pub
AI and machine-learning decision aids can be a great support for employees and help them improve their work performance. An overreliance on algorithmic recommendations, on the other hand, may result in a long-term reduction of the employees’ ability to develop and maintain their own decision-making skills. This could be especially problematic when such AI and machine-learning decision aids are not available. Instead of overly relying on such AI-based recommendations, organizations should train their employees to continue developing their critical thinking and decision-making skills. Hendrik Drachsler and his research partners address this problematic dependency on AI tools and the conflict of interests in the workplace in their newly published article “The Dependency Dilemma: How Machine Learning Decision Aids can Undermine Skill Growth”. Using a controlled experiment, the authors found that participants…
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New Pub: Recommendations for Higher Education in the Age of Generative AI

New Pub: Recommendations for Higher Education in the Age of Generative AI

Artificial Intelligence, Higher Education, Publication, Report
Generative AI cannot be treated as just another digital tool that has come along. As it becomes more and more embedded in higher education, universities face the challenge of responsibly navigating the many challenges and opportunities that generative AI brings with it. One central guiding principal for institutions and stakeholders engaged with generative AI is intellectual sovereignty, which the German Science and Humanities Council (Wissenschaftsrat, WR) highlights in its newly published position paper, which was presented in a digital press release on 06.07.2026. Intellectual sovereignty refers to the ability to think independently, exercise critical judgment and maintain autonomy in the creation and evaluation of knowledge. Rather than relying uncritically on AI-generated outputs, this concept encourages students, educators and institutions to actively question, assess and contextualize information. By placing intellectual sovereignty…
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Congratulations, Dr. Karademir! Turning Data into Pedagogical Action

Congratulations, Dr. Karademir! Turning Data into Pedagogical Action

Alumni, Learning Analytics, PhD defense
On 1 July 2026, Onur Karademir successfully defended his doctoral dissertation at the Goethe-University Frankfurt — and we could not be prouder. Onur joined the EduTec team in February 2021, but his story started even earlier: as a student frustrated by 90-minute maths lectures, he channelled that experience into founding StudyCore, an EdTech startup delivering digital teaching tools to universities and schools. That hands-on instinct — building things that actually reach learners — defined his entire PhD trajectory. His dissertation, Turning Data into Pedagogical Action: Designing the Learning Analytics Cockpit, a Teacher Dashboard for Feedback, tackles one of the most pressing challenges in educational technology: making learning analytics useful in real classrooms. Over three interconnected studies — a proof of concept, a co-design process with secondary school teachers and a…
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Keynote: From Experiment to Infrastructure: Reflections on AI in Higher Education

Keynote: From Experiment to Infrastructure: Reflections on AI in Higher Education

Academy, Artificial Intelligence, Conference, Higher Education, Keynote, Keynote
Today, Hendrik Drachsler gave a keynote at the VHB annual Conference in Bamberg, speaking to an audience of over 33 AI project leaders from higher education institutions in Germany. The topic was "From Experiment to Infrastructure: Scaling, Evaluation, and Governance of AI Systems in Higher Education," reflecting his thinking on various grassroots projects and how to scale them across the whole university. The gap between performance and learning Hendrik opened with a provocation: Is AI the new calculator? Both technologies automate cognitive processes, both faced early scepticism, and both promised efficiency gains. But the analogy breaks down quickly. A calculator takes over arithmetic, not problem-solving. AI takes over the formulation, analysis, and argument. That is a qualitative difference, and it demands a different institutional / governance response. Mixed results on…
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New Pub: Competent Usage of AI and Digital Technology in Education

New Pub: Competent Usage of AI and Digital Technology in Education

Artificial Intelligence, New Pub, Publication
[caption id="attachment_8403" align="alignright" width="300"] Modified TPACK model as Level 2 of the AIEDTEC-CDM. Note. TPK = technological pedagogical knowledge (TPK), TCK = technological content knowledge, PCK = pedagogical content knowledge, TPCK = technological pedagogical content knowledge.[/caption] How can teachers and learners use AI and digital technology competently, critically and safely in education? Simply using AI tools and digital technology in educational settings does not necessarily mean that learners will profit from these tools. Some tools may have a positive effect on learning, while others may not. A newly published paper addresses this issue and formulates a theoretical framework for the “Competence to Use Artificial Intelligence and Digital Technology in Educational Processes” (AIEDTEC competence). Combining insights from psychology and computer science, it aims to provide a theoretical definition of the competent…
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🤖 Robots in the Classroom — Sebastian Wollny on the “Sitzenbleiben” Podcast

🤖 Robots in the Classroom — Sebastian Wollny on the “Sitzenbleiben” Podcast

Digitalisation, Press, Robots in Education, Transfer Activity
What do soccer-playing robots, telepresence droids, and 3D printers have in common? They're all reshaping what education looks like — and our very own Sebastian Wollny sat down with the DIPF parent podcast Sitzenbleiben to break it all down. 🎙️ 📣 Note: This episode is in German. Robotics in education is no longer a distant vision. In Episode 48 of Sitzenbleiben, Sebastian — researcher in our Educational Technologies group and trained electrical engineer with a specialization in automation — explains how robots are already making their way into schools and what that means for students and teachers alike. The conversation covers a surprisingly wide range of real-world applications: 🏫 Telepresence robots that let sick children stay physically "present" in their classroom — a friend can even take the robot-avatar along…
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How AI Systems Impact Mathematics Achievement in Rural Areas

How AI Systems Impact Mathematics Achievement in Rural Areas

Artificial Intelligence, PhD defense, School
On Friday, May 8, 2026, Rashmi Khazanchi successfully defended her doctoral dissertation, "Artificial Intelligence in Education: Impact of AI-Based Systems on Mathematics Achievement," at the Open Universiteit in Heerlen. The defense was supervised by Prof. Dr. Hendrik Drachsler, who holds a guest professorship at the Open Universiteit, alongside co-promotor Prof. Dr. Daniele Di Mitri (German University of Digital Sciences). The Research Question Khazanchi's work addresses a pressing challenge in education: whether AI-based learning systems can help close the mathematics achievement gap for students from socioeconomically disadvantaged backgrounds. Her research focused on students in a rural school district in South Georgia, USA — a setting often characterized by limited resources and a shortage of qualified teachers. What Was Studied The school implemented two AI-based systems to support struggling learners: ALEKS, an…
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New Pub: How Virtual Reality Mental Training Impacts Race Preparation in Recreational Runners

New Pub: How Virtual Reality Mental Training Impacts Race Preparation in Recreational Runners

Augmented Reality, Computational Psychometrics, General education, Journal, New Pub, Publication
Can Virtual Reality Mental Training Help Recreational Runners Race Smarter? We’re glad to announce that our paper has just been published! 🎉 In this post, we share the key ideas and early findings from our newly published study exploring how virtual reality (VR) mental training—grounded in cognitive-behavioral (CB) techniques—may support long-distance recreational runners in adopting race strategies and strengthening motivation within a coaching context. What happens when cognitive-behavioral (CB) techniques like imagery and self-talk meet virtual reality (VR) in a coaching context? An exploratory study of recreational long-distance runners provides intriguing early signals. Why this study matters VR has been used in sports settings to support skill learning and performance, but it’s still relatively uncommon to see VR paired directly with cognitive-behavioral mental training—especially practical tools like imagery and self-talk…
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New Collaborative Research Center [in:just]

New Collaborative Research Center [in:just]

Artificial Intelligence, Project
We are excited to announce that we will be part of the newly launched Collaborative Research Centre [in:just]. This center is special as it will be the first such center in the field of educational sciences and will focus on justice and participation in the educational system. Its goal is to study why inequality in Germany’s educational system continues to exist and what factors contribute to this. The spokespersons are Prof. Merle Hummrich and Prof. Vera Moser, both of whom work in the Department of Educational Sciences at Goethe University. The first phase of the Collaborative Research Centre [in:just] will be funded by the German Research Foundation (DFG) from 2026 – 2029. A team of 31 researchers from fields such as education, sociology, philosophy, political science, law, geography and computer…
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Moving Education Towards Didactical Intelligence

Moving Education Towards Didactical Intelligence

Artificial Intelligence, Event, Invited talk, Learning Analytics
ChatGPT and other GenAI tools are said to be good for learning. But does their usage really empower learners, or does it overwhelm them instead? Studies from Highly- Informative Learning Analytics (HILA) programs show how complex the effects of such AI-tools can be. While dashboards can potentially improve students’ learning outcomes, AI feedback can sometimes be helpful and sometimes be demotivating for students, depending on their feedback literacy. In a recent presentation at IWM Lectures Hendrik Drachsler argues that we need more research into Didactical Intelligence – a framework for understanding when, how and for whom AI and Learning Analytics truly improves learning and when not. Technology alone doesn’t guarantee better outcomes; its success depends on thoughtful integration into pedagogy. He therefore presented the Highly-Informative Learning Analytics research platform. This…
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