Evidence in Practice
Technologies in Education: What’s the evidence?
At TUM, we provide information on the latest educational technologies and learning methods as part of our EdTech initiatives and emphasize the identification of proven strategies, especially in higher education, schools, and professional training. Our updates include summaries of recent studies in our research areas, ongoing debates, and comprehensive meta-analyses summarizing the results of extensive, high-quality research.
In addition, we offer you insights into new developments, conceptual models, and the digital and future learning services we provide for learners and teachers.
Discover with us the evidence behind educational technologies!
Invite to International Symposium June 8
Coming June 8, 2026 The TUM Center for Educational Technologies and relAI are happy to welcome you to…
From Classroom Recordings to Teacher Feedback: Automating the Recognition of Instructional Practice
September 23, 2026 Classroom observation can provide teachers with valuable feedback on their instructional practice. Yet systematically observing…
From Scoring to Explanations: Can We Trust AI Rationales for Teaching Quality?
September 16, 2026 Artificial Intelligence (AI) can increasingly evaluate complex educational practices, including classroom teaching. But assigning a…
Scaling Assessment of Student Models with LLMs: Integrating Feedback into Practice
September 04, 2026 Assessing student-created models such as UML diagrams is difficult to scale. Unlike programming exercises, where…
From Display to Dialogue: How Interactive Learning Dashboards Can Support Student Reflection
August 27, 2026 Learning Analytics Dashboards (LADs) are designed to help students understand their learning by visualising information…
Why AI Tutors Need Corrective Courage
July 13, 2026 When AI tutors become too agreeable, they may reinforce misconceptions instead of helping learners correct…
PromptMirror: Visualizing LLM Use to Support STEM Student Reflection
July 6, 2026 Abstract Large language models (LLMs) are increasingly embedded in students’ academic work. They can support…
Should AI Ask First? How Proactive Mentoring Shapes Learner–AI Interaction in Self-Directed Learning
June 29, 2026 Should AI Ask First? How Proactive Mentoring Shapes Learner–AI Interaction in Self-Directed Learning A major…
How Avatar Appearances Shape Perceptions of AI Hiring
April 17, 2026 Artificial intelligence (AI) is increasingly used in hiring processes, often through human-like avatars that simulate…
Artificial intelligence in classroom management
February 19, 2026 Artificial Intelligence (AI) is increasingly shaping education not only through learning tools, but also through…
The Dissociation of Performance and Learning in AI-Supported Programming Education
January 30, 2026 Generative Artifical Intelligence (AI) is rapidly transforming programming education. Particularly, AI assistance has been shown…
AI as Essay Grader: Helpful with Spelling, Risky with Content
December 8, 2025 Teachers face significant challenges regarding the assessment and grading of student writing, making it a…
How context and social factors influence learners’ willingness to share their data
Learning analytics (LA) has become central to personalized and data-driven education, but ethical concerns remain. While technical and…