Με τη χρηματοδότηση της Ευρωπαϊκής Ένωσης. Οι απόψεις και οι γνώμες που διατυπώνονται εκφράζουν αποκλειστικά τις απόψεις των συντακτών και δεν αντιπροσωπεύουν κατ'ανάγκη τις απόψεις της Ευρωπαϊκής Ένωσης ή του Ευρωπαϊκού Εκτελεστικού Οργανισμού Εκπαίδευσης και Πολιτισμού (EACEA). Η Ευρωπαϊκή Ένωση και ο EACEA δεν μπορούν να θεωρηθούν υπεύθυνοι για τις εκφραζόμενες απόψεις. 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. Μελέτη περίπτωσης 25: Το KU Leuven ενδυναμώνει το προσωπικό και τους/τις φοιτητές/τριες των ΑΕΙ για την υπεύθυνη χρήση της Γενετικής ΤΝ αντί να την απαγορεύσει. General information Reference/Source: KU Leuven website: https://www.kuleuven.be/english/education/leuvenlearninglab/support/highlighted/ge nerative-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. GenAI-tools 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 - There is a specific portal to provide guidance on the responsible use of GenAI in the university: https://www.kuleuven.be/english/genai Description of case - Generative Artificial Intelligence (GenAI) is a type of machine learning. It’s the umbrella term for a group of algorithms that can create new content. This content can take different formats: text, code, images, videos, and music, or a combination of all of these. GenAI generates output in response to a query/prompt using generative models such as Large Language Models (LLMs), relying on large datasets to achieve this. Some well-known examples are text generators such as ChatGPT, ChatGPT's integration into Microsoft Bing, and image generators such as DALL-E and Midjourney. - Basic principles: Transparency about the use of GenAI depending on the type of use. Verification of the correctness of the generated output, with attention for correct sources. Respect for copyrighted material, personal data and confidential information (including unprotected IP) by not importing them on platforms managed by external parties (non-KU Leuven servers). This is only possible with explicit approval of the owners of the copyrighted data, information or material. Responsibility for the correct usage of GenAI (primarily as help and support) and for the output you publish (concerning research) or submit as a student (concerning education). - Tips and tricks for the use of GenAI: https://www.kuleuven.be/english/genai/tips - Guidelines per target group: Students https://www.kuleuven.be/english/education/student/educational-tools/generativeartificial-intelligence
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