Adopce nástrojů umělé inteligence studenty studijního programu Informační management na VŠE v Praze

This study explores how and why students in the Information Management program at the Prague University of Economics and Business adopt artificial intelligence tools into their academic practice. Based on a qualitative research project conducted through ten semi-structured interviews, the work identifies key motivational factors, barriers, and conditions influencing their usage. The findings show that the primary motivation for students is saving time and increasing study efficiency while maintaining the same or similar academic outcomes. The study also maps factors such as information availability, institutional support, and relevant social influences that either facilitate or hinder adoption. Main barriers include technical limitations of tools, concerns about data protection, and unclear rules for their use in an academic setting. The research results lead to concrete recommendations to increase effective and responsible AI use in academia, including the development of unified guidelines, training for students and faculty, and ensuring tool accessibility through collective licenses. The study contributes to understanding the digital competencies of the younger generation of students, expands theoretical knowledge about AI adoption in higher education, and provides practical recommendations for universities integrating AI into academic processes.