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Learning analytics (LA) is revolutionizing higher education by leveraging data to enhance teaching and learning. This systematic review examines empirical research on LA’s adoption, benefits, and barriers in higher education. Conducted following PRISMA guidelines, the review analyzed 19 studies from ERIC and PsychInfo, focusing on primary data. Findings reveal a predominance of qualitative research and Western perspectives, highlighting a gap in global and quantitative studies. Although perceived benefits of LA are frequently discussed, actual benefits remain underexplored. Barriers such as technical issues and data privacy concerns are well-documented. This review underscores the need for more diverse and empirical research to validate LA’s effectiveness and address implementation challenges, ultimately aiming to optimize educational outcomes and institutional performance.