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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Impacts of AI on learning and teaching: between support and illusion
AI helps learning, but can create an illusion of mastery by reducing critical effort. Useful as support, but not as a substitute for personal reflection and real understanding.
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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 companion: challenges for authenticity and assessment in higher education
AI is reshaping the way we write and assess academic work. This reflection invites us to rethink pedagogical practices while preserving the authenticity and integrity of student output.
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Training for AI skills: a strategic challenge for higher education today
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 teaching in generative AI
In the age of generative AI, the PRAX-AI model supports educators in adapting teaching and assessment through two axes of reflection and practical tools.