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When GenAI arrived, a common reflex in education was to \"just ask for higher cognitive skills\". If the machine can summarize, we will ask students to evaluate. If it can code, we will ask for a critical analysis. But simply rising cognitive expectations in the hope of making a task AI-resilient is a dangerous trap. First, it doesn't work.","webinar series #2 - AI and the Robustness of Assignment Tasks | Switch",[224,230],{"__typename":225,"_id":226,"paragraph_id":227,"title":228,"text":229},"TextItem","b7b1c7a8-5b69-430c-a50e-000a94a85e73",3573,"webinar topic","\u003Cp class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">\u003Cstrong>Generative AI \"smooths\" text so fluently that it can seamlessly mimic high-level evaluation or synthesis, creating a quiet gap between what is practiced and what is truly understood.\u003C/strong> Second, if we change how we access, we might need to &nbsp;change how we teach. In our next webinar, we present an alternative: We present a pragmatic 6x4 coordinate grid crossing the six Bloom taxonomy levels with four clear columns of human-AI division of labor: from full human performance, to human guiding AI, human operating AI, and full delegation. \u003Cstrong>Robustness doesn’t mean banning technology or artificially inflating task difficulty. It means clearly defining who does what, what thinking is required when, and what counts as solid evidence.\u003C/strong> In the webinar, we will break down this matrix and look at concrete, practical transition strategies. \u003Cstrong>We will unveil a&nbsp;first version of a portable AI Assistant designed to help teachers formulate tailored AI instructions and student declaration templates as a complement to existing assignment tasks.&nbsp;\u003C/strong>\u003C/p>\u003Cp class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">&nbsp;\u003C/p>\u003Cp class=\"p1\">This webinar will be led by&nbsp;\u003Cstrong>Thomas Steiner\u003C/strong>, full professor at the School of Management of the Canton of Valais (HES-SO Valais-Wallis), strategic head of Cyberlearn (the e-learning center of the HES-SO), and a member of the AI Steering Committee for Education. He holds a PhD in Management Information Systems from the University of Lausanne (HEC) and brings over 30 years of experience in the field of applied artificial intelligence. As the former director of the Swiss School of Tourism and CEO of FRIBOURG RÉGION, he possesses a strategic vision rooted in the practical management of transition and digitalization. His research and consulting activities focus on integrating generative AI into education, organizations, and boards of directors, as well as the evolution of governance models in the face of technological disruptions. 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