AI Training in Higher Education: Students' Experiences and Expectations Across Disciplines
DOI:
https://doi.org/10.34190/ecel.24.1.4007Keywords:
Artificial Intelligence (AI), innovation, students, training, discipline-specificAbstract
As generative AI tools such as ChatGPT become increasingly embedded in higher education, students across disciplines are using them extensively—often without sufficient guidance. This study investigates how students from two contrasting faculties—economics and administration, and health and social sciences—experience current AI training and what they expect from future education in this area. Using a mixed-methods approach, the study analyses survey data from spring 2025, combining quantitative results with thematic analysis of open-ended responses. The study aims to offer practical insights to inform the development of effective, discipline-specific AI training in higher education.