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. Figure 1 below presents a proposed framework that outlines the key principles for ethical and effective AI use in HE. A strong foundation in understanding AI systems is crucial, as it enables educators to assess the purpose, autonomy, and environmental context of AI tools. Building upon this foundation, ethical considerations, such as ensuring beneficial use, transparency, fairness, privacy, and human agency, must guide the implementation of AI. Finally, practical guidelines, including professional development, critical evaluation, student engagement, addressing ethical dilemmas, promoting AI literacy, and fostering collaboration, provide a roadmap for educators to successfully integrate AI into their classrooms while upholding ethical standards and maximising its benefits for students. Practical Example: Using AI-powered Adaptive Learning for Personalised Instruction Scenario: A primary school wants to personalise maths instruction for students using an Intelligent Tutoring System (ITS). The school implements an ITS that adapts maths problems to each student's individual learning pace and style. The system uses data on student performance, engagement, and errors to predict their knowledge level and tailor subsequent problems accordingly. Implementation following the Framework: Understanding AI Systems Purpose: The school clearly defines the purpose - to provide personalised maths instruction and track student progress. Autonomy: The ITS has a degree of autonomy in adapting problems, but human teachers still oversee the learning process and provide guidance.
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