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Technical University of Munich currently has 7 source-backed claim records and 3 official source attributions. Latest tracked changed date: 19 jul 2026. Latest tracker diff: 0 comparable policy-text changes, 2 newly extracted claims, 0 source snapshot changes.
Deze pagina combineert alle openbare releasediffs voor Technical University of Munich. Individuele releasesnapshots blijven beschikbaar via hun release-specifieke URL's.
This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
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public-release-20260714-002 vergelijken met public-release-20260715-005.
1 verschil openbare publicatie
Vergeleken met public-release-20260714-002.
public-release-20260714-002 vergelijken met public-release-20260715-005.
7 Claimen registers
M365 Copilot Chat is listed for Technical University of Munich in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
Grammarly is listed for Technical University of Munich in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
TUM ProLehre guidance says instructors at TUM have broad discretion when deciding whether and how AI is used in teaching, and that related rules should be didactically grounded and communicated transparently to students.
When AI use is restricted, TUM ProLehre guidance tells instructors to clearly define what AI may be used for, what it may not be used for, and to discuss this with students.
TUM ProLehre guidance recommends starting AI-use decisions from the intended learning outcomes and whether AI use supports, complements, or hinders those competencies.
TUM ProLehre guidance says reliable control of AI use is difficult to impossible, and recommends designing assessments so unauthorized AI use does not provide a decisive advantage.
TUM ProLehre guidance says students often need targeted training in competent AI use, including AI functions, limits, common errors, biases, misinformation, and critical evaluation of AI outputs.
3 source attributions
official_pdf Tracker checked at 10 mei 2026, 20:44
official_guidance Tracker checked at 15 jul 2026, 20:08
official_guidance Tracker checked at 15 jul 2026, 20:09