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08:15
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Registration Desk and Morning Coffee
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09:00
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Conference Opening
(Aula 1.01)
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09:15
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PL1: Opening Plenary Lecture: AI in STEM education: when it works, when it doesn't, and why the difference almost always comes down to instructional design
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Katarzyna Potęga vel. Żabik
(Aula 1.01)
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10:00
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O17: Building interactive physics simulations without writing code: the promise and the perils of AI-assisted “vibe coding
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Dariusz Aksamit
(Aula 1.01)
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10:20
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--- Break ---
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10:40
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PATH A
(until 12:00)
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10:40
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O1: Students’ and teachers’ perspectives on graded pre-class assignments in the age of artificial intelligence
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Arjan Lock, Ruth Buning, Johan Van Der Tol
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11:00
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O2: Continuous examination in the age of AI: comparing “explainer videos” and two-stage exams
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David Marsh
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11:20
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O4: AI-supported pre-class preparation to enhance inquiry-based physics learning in engineering education
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Debjani Goswami
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11:40
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O5: AI-supported mechanistic reasoning in physics education: investigating students’ explanations of core electrostatic concepts in a neuron axon – RC circuit mode
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Aslihan Muazzez Ünsal, Fatma Caner
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10:40
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PATH B
(until 12:00)
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10:40
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O6: Effectiveness of whiteboards as a collaboration tool in university physics teaching: investigations based on the ICAP framework
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Silke Stanzel, Christine Lux, Claudia Schäfle
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11:00
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O7: What is physics? – Socratic roots and experiential learning
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Hendrik Snijder
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11:20
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O9: Evaluation of active learning materials for engineering students in fluid dynamics: progress and difficulties addressing misconceptions
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Max Uzulis, Christian Kautz
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11:40
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O10: Guided inquiry-based physics labs for future engineers
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Yuki Kaneko
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