Artificial intelligence in higher education

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Higher education institutions (HEIs) might experience some resistance from students when artificial intelligence (AI) is utilized for work-based learning. Acceptance becomes likelier when such tools are perceived to be useful and simple to use. Learners also tend to view AI more favorably when their self-efficacy is high, usage aligns with subjective norms among peers and technology complements rather than replaces interaction with professors and mentors. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.