“…Teachers require training in prompt engineering and AI integration into curricula, which must be restructured for AI literacy. This multidisciplinary (Alkaissi et al, 2023;Ivanov, 2023;Katarzyna et al, 2023;Theophilou et al, 2023) AI Dependency Over-reliance on AI for problem solving, decision making, and cognitive tasks Foster a problem-based learning environment where students are encouraged to first use analytical reasoning before turning to AI solutions (Chan & Tsi, 2023;Groza & Marginean, 2023;Ivanov, 2023;Malik et al, 2023) AI Ethics Ethical dilemmas posed by AI, such as personal autonomy or discrimination Integrate ethics into the curriculum with a focus on AI-related issues, encouraging debate and discussion on ethical dilemmas (Akgun & Greenhow, 2022;Ivanov, 2023;Jeyaraman et al, 2023;Nguyen et al, 2023;Rane, 2023;Williams, 2021) Pace of Technology Problems with keeping up-to-date with the rapid technological changes and fears concerning displacements in the job market as well as academia Provide workshops for career guidance that emphasize adaptability and the importance of continuous learning in an AI-evolving job landscape. Teach an agile mindset and provide sources to learn the newest developments.…”