Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. Project number: 2023-1-NL01-KA220-HED-000155675. personal resources and funds of knowledge each participant brought into the group. The study also provided a framework for personalised learning within teacher education that included a variety of methods, such as Walk & Talk and personalised project work. Lessons learned Different groups of participants can use the personalised learning framework to support their understanding and evaluation of their practice but the success of personalised learning depends on the context, quality of the dialogue, and the willingness of individuals to engage with the framework. Implications for practice The study highlights the importance of personalised learning in teacher education and offers multiple methods and strategies for implementing it effectively. Case Study 25: KU Leuven empowers HE staff and students for responsible use of GenAI rather than banning it General information Reference/Source: KU Leuven website: https://www.kuleuven.be/english/education/leuvenlearninglab/support/highligh ted/generative-artificial-intelligence - As of 2022-2023, KU Leuven has over 65 000 students (bachelor, masters, PhD, exchange, postgraduate). - As of 2023, KU Leuven employs 15 421 people, of which 1915 tenured academic staff, 2127 postdoctoral staff, 311 teaching staff and 4989 administrative and logistic staff. - KU Leuven is an autonomous, research-intensive and internationally oriented university that carries out both fundamental and applied research. - KU Leuven has decided to promote a responsible use of Generative AI (GenAI) in education instead of banning it. - The university is open to the use of generative AI (GenAI)-technology concerning education and research and encourages its students, teaching staff and researchers to handle this technology in a responsible and critical way. GenAItools have found their way into the university and it is of importance that everyone understands how GenAI works, to ensure that the academic standards are upheld and users maintain ownership over their written text. - The target audience: HE teaching staff, students, researchers
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