exploring the transformative potential of learning analytics in medical education: a systematic review

Introduction: learning analytics (la) has emerged as a potent tool in medical education, offering data-driven insights and personalized support to learners. this systematic review aims to provide a comprehensive overview of the current state of la in medical education, exploring its applications, benefits, challenges, and future directions.methods: the study was conducted as a systematic review of learning analytics (la) in medical education. a comprehensive search was performed in june 2023 across the following databases: proquest, scopus, eric, web of science, pubmed, and sciencedirect, with no restrictions on publication dates. the search resulted in a total of 1095 records, which were screened after removing duplicates, leaving 552 titles for review. following the exclusion of irrelevant articles, 12 studies were selected for synthesis.results: four key categories of la applications emerged: curriculum evaluation, learner performance analysis, learner feedback and support, and learning outcome assessment. thesynthesis of findings underscores la potential to enhance learning experiences, identify at-risk learners, and improve formative assessment practices. however, ethical and privacy concernswarrant attention to bridge the gap between research and practice.conclusion: this review suggests a collaborative and mindful approach to leveraging la in medical education. balancing data-driven insights with effective, ethical, and human-centricpedagogical practices is crucial. addressing these concerns can ensure the integration of la into medical education, fostering its transformative potential while upholding core values.