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267020 SE AI and Digital Ressources for physics teaching (2025W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 04.09.2025 08:00 to Mo 22.09.2025 23:59
- Deregistration possible until Fr 17.10.2025 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Tuesday 12:00 to 13:30. Place: AECC Besprechungsraum (Porzellangasse 4, Stiege 2, NR. 211)
- Tuesday 07.10. 12:00 - 13:30 Ort in u:find Details
- Tuesday 14.10. 12:00 - 13:30 Ort in u:find Details
- Tuesday 21.10. 12:00 - 13:30 Ort in u:find Details
- Tuesday 28.10. 12:00 - 13:30 Ort in u:find Details
- Tuesday 04.11. 12:00 - 13:30 Ort in u:find Details
- Tuesday 11.11. 12:00 - 13:30 Ort in u:find Details
- Tuesday 18.11. 12:00 - 13:30 Ort in u:find Details
- Tuesday 25.11. 12:00 - 13:30 Ort in u:find Details
- Tuesday 02.12. 12:00 - 13:30 Ort in u:find Details
- Tuesday 09.12. 12:00 - 13:30 Ort in u:find Details
- Tuesday 16.12. 12:00 - 13:30 Ort in u:find Details
- Tuesday 13.01. 12:00 - 13:30 Ort in u:find Details
- Tuesday 20.01. 12:00 - 13:30 Ort in u:find Details
- Tuesday 27.01. 12:00 - 13:30 Ort in u:find Details
Information
Aims, contents and method of the course
This seminar has the aim of introducing students to artificial intelligence tools to implement in their physics teaching practice with a critical perspective. All the course communication and activities are in English. The course is highly interactive. The students are expected to work individually or in pairs in every session, reflect on their learning process and receive feedback.
Assessment and permitted materials
All the activities done in class and homework will be graded. A final presentation will be prepared in the form of an academic debate. The participation in the debate is required for passing the course.
Minimum requirements and assessment criteria
Attendance to at least 80% of the sessions is required for passing the course.
Participation in the final debate is required for passing the course.Grades will be determined as follows:
90-100% (1)
80-89% (2)
70-79% (3)
60 - 69% (4)
0-59% (5)
Participation in the final debate is required for passing the course.Grades will be determined as follows:
90-100% (1)
80-89% (2)
70-79% (3)
60 - 69% (4)
0-59% (5)
Examination topics
Critical review of LLMs and AI, Use of AI in lesson planning in physics education, Use of AI with physics students, Use of AI for evaluation and feedback in physics education, Ethical implications of AI in education
Reading list
Will be provided during the course.
Association in the course directory
UF PHYS 15
Last modified: Mo 06.10.2025 07:26