Training students in AI means giving them the tools to innovate in a constantly changing digital world. At UNIL, we offer curricula enriched with concrete projects, interdisciplinary seminars and educational initiatives to stimulate curiosity. What’s more, we also support teachers so that they can incorporate these approaches into their courses and pass on a solid digital culture to the next generation.
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An Australian framework for AI in higher education: between opportunities and close vigilance
Australia issues a framework for the responsible integration of AI in higher education, placing equity, ethics and critical vigilance at the heart of academic practice.
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Impact of AI on the learning and teaching processes: Between support and illusion
AI helps learners to make progress, but can create an illusion of mastery by reducing the critical effort. Useful as support, never as a substitute for personal reflection.
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A four-dimensional framework of Humans-AI competencies: an integrated approach
Human-AI co-agency and joint regulation. Four axes for training: AI capabilities, critical verification skills, AI literacy, and the distinctive human capacities that remain essential.
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AI as a writing partner: what is really at stake for authenticity and assessment in higher education
AI is reshaping the ways we write and assess academic work. This reflection invites us to rethink pedagogical practice while preserving authenticity and integrity in student productions.
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Training for AI skills: a strategic challenge for higher education
In response to the generalisation of AI, this article puts forward frameworks to develop a critical, progressive and creative appropriation by the students as well as by the teachers.
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PRAX-AI: a framework for rethinking assessment and instruction in the era of generative AI
In the era of generative AI, the PRAX-AI model helps to adapt teaching and assessment through two central axes of reflection and concrete tools to guide educators in their everyday…