{"id":5348,"date":"2026-03-17T11:18:59","date_gmt":"2026-03-17T09:18:59","guid":{"rendered":"https:\/\/ai.taltech.ee\/?post_type=event&p=5348"},"modified":"2026-03-17T11:22:45","modified_gmt":"2026-03-17T09:22:45","slug":"ai-in-teaching-choices-boundaries-and-agreements","status":"publish","type":"event","link":"https:\/\/ai.taltech.ee\/en\/events\/ai-in-teaching-choices-boundaries-and-agreements\/","title":{"rendered":"AI in Teaching: Choices, Boundaries, and Agreements"},"content":{"rendered":"

The workshop begins with a central question: <\/span><\/span>when does an AI assistant genuinely support teaching\u2014and when does it not?<\/span><\/span>\u00a0<\/span>Participants share AI-based solutions they have created or experimented with and\u00a0<\/span>analyse<\/span>\u00a0them together with colleagues, focusing on whether the feedback provided is relevant, whether the mode of use feels fair to students, and where ethical boundaries\u00a0<\/span>emerge<\/span>.<\/span>\u00a0<\/span>During the practical session, participants design an AI assistant for their own course that qualifies as a teaching assistant and can be used in a transparent and well-justified manner. Various tools (<\/span>e.g.<\/span>\u00a0<\/span>NotebookLM<\/span>,\u00a0<\/span>HeyGen<\/span>,\u00a0<\/span>GPTEdu<\/span>) are explored to understand not only\u00a0<\/span><\/span>how<\/span><\/span>\u00a0to use them, but\u00a0<\/span><\/span>why<\/span><\/span>\u2014and whether\u2014they should be integrated into teaching practice at all.<\/span>\u00a0<\/span>The lecture\u00a0<\/span>component<\/span>\u00a0situates these practical experiences within a broader framework, addressing the role of AI in academic teaching, the boundaries of responsibility and authorship, and the importance of open dialogue with students when\u00a0<\/span>establishing<\/span> agreements around AI use.<\/span><\/span><\/p>\n

Learning\u202foutcomes:<\/p>\n

    \n
  1. design an AI assistant for their course that qualifies as a teaching assistant;<\/span>\u00a0<\/span><\/li>\n
  2. critically evaluate whether an AI assistant provides relevant and pedagogically sound feedback;<\/span>\u00a0<\/span><\/li>\n
  3. engage in open dialogue with students about the scope and ethics of AI use in their course;<\/span>\u00a0<\/span><\/li>\n
  4. create learning materials using\u00a0NotebookLM,\u00a0HeyGen, and\u00a0GPTEdu;<\/span>\u00a0<\/span><\/li>\n
  5. make informed decisions about whether\u2014and in what form\u2014such solutions should be used in their teaching.<\/span>\u00a0<\/span><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    The workshop begins with a central question: when does an AI assistant genuinely support teaching\u2014and when does it not?\u00a0Participants share…<\/p>\n","protected":false},"featured_media":0,"template":"","language_tax":[339],"audience_tax":[351,353,355],"status_tax":[257],"type_tax":[365],"sector_tax":[],"class_list":["post-5348","event","type-event","status-publish","hentry","language_tax-english","audience_tax-taltech-internal","audience_tax-scientist","audience_tax-teacher","status_tax-moodunud","type_tax-workshops"],"acf":[],"yoast_head":"\nAI in Teaching: Choices, Boundaries, and Agreements | AI Focus Center<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ai.taltech.ee\/en\/events\/ai-in-teaching-choices-boundaries-and-agreements\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta 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