teaching
Dalhousie's course syllabus guide says syllabi should include a statement about instructor expectations around generative AI and large language models such as ChatGPT.
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Dalhousie University
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Dalhousie University currently has 5 source-backed claim records and 3 official source attributions. Latest tracked changed date: 16 mei 2026. No tracker diff rows are recorded in the latest public release.
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11 # Dalhousie University AI policy record
2+teaching: Dalhousie's course syllabus guide says syllabi should include a statement about instructor expectations around generative AI and large language models such as ChatGPT.
3+Evidence (en, 289ceb60582b): Include a statement about your expectations around generative AI and large language models (e.g., ChatGPT). See Dalhousie’s AI Guiding Principles for additional information.
4+academic_integrity: A Dalhousie CLT generative AI teaching handout says current detection tools that claim to identify AI-generated work are not reliable and are not recommended.
5+Evidence (en, 901b5ae08cd4): Current ‘detection tools’ that claim to identify whether a piece of work was generated by artificial intelligence are NOT RELIABLE and are not recommended.
6+teaching: Dalhousie's CLT course design guidance tells instructors concerned about student generative AI use in coursework to talk with students about what they can and cannot use it for and how to use it appropriately.
7+Evidence (en, db7dfcf3bfdb): If you’re concerned about students using generative artificial intelligence for course work, talk with students about gen A.I. (what students can and can’t use it for, how to use it appropriately, etc.).
8+academic_integrity: A Dalhousie CLT generative AI teaching handout says current academic integrity policy already covers generative AI use because students complete assignments on their own and must acknowledge sources of information or ideas that are not their own.
9+Evidence (en, 901b5ae08cd4): Current Academic Integrity Policy already covers the use of Generative AI as it states that students must be responsible learners, which means that: Students complete assignments on their own. Students must acknowledge any sources of information or ideas when they are not their own.
10+source_status: Dalhousie's public CLT course design page links to A.I.-driven course-delivery guiding principles, but the linked SharePoint source requires login and was inaccessible to this public crawl.
11+Evidence (en, db7dfcf3bfdb): Read Dalhousie's Guiding Principles with respect to A.I.-driven tools for course delivery [login required] or learn more on the CLT’s GenA.I. in Teaching and Learning resource.
Geschiedenis releases
0 public release diffs
Aanpassingen claimen
5 Claimen registers
academic_integrity
A Dalhousie CLT generative AI teaching handout says current detection tools that claim to identify AI-generated work are not reliable and are not recommended.
Beoordeling: Door agent beoordeeld
teaching
Dalhousie's CLT course design guidance tells instructors concerned about student generative AI use in coursework to talk with students about what they can and cannot use it for and how to use it appropriately.
Beoordeling: Door agent beoordeeld
academic_integrity
A Dalhousie CLT generative AI teaching handout says current academic integrity policy already covers generative AI use because students complete assignments on their own and must acknowledge sources of information or ideas that are not their own.
Beoordeling: Door agent beoordeeld
source_status
Dalhousie's public CLT course design page links to A.I.-driven course-delivery guiding principles, but the linked SharePoint source requires login and was inaccessible to this public crawl.
Beoordeling: Door agent beoordeeld
Bronsnapshots
3 source attributions
Course Design Recommendations - Centre for Learning and Teaching
official_guidance Tracker checked at 16 mei 2026, 04:23
Course Syllabus Guide
official_pdf Tracker checked at 16 mei 2026, 04:24
Generative AI in Teaching and Learning
official_pdf Tracker checked at 16 mei 2026, 04:23