“…These include addressing data protection and ethical concerns, which are paramount given AI's potential to offer individualized learning pathways [Ninaus & Sailer, 2022;Zawacki-Richter, Marín, Bond & Gouverneur, 2019]. Ethical issues such as academic integrity, plagiarism, and fraud necessitate strategic approaches that emphasize critical thinking, fact-checking, and adjustments in teaching methodologies and examinations [Farrokhnia, Banihashem, Noroozi & Wals, 2024;Gleason, 2022;Kasneci et al, 2023;Lund et al, 2023;van Wyk, Adarkwah & Amponsah, 2023]. Moreover, the varying stances of scientific publishers toward AI-generated texts, from viewing them as plagiarism to restricting LLM authorship, indicate the complexity of integrating AI into academic publishing processes [Stokel-Walker, 2023;Thorp, 2023].…”