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Learning analytics, education data mining, and personalization in health professions education

Corral, Janet; Konstantinidis, Stathis Th.; Bamidis, Panagiotis D.

Authors

Janet Corral

Panagiotis D. Bamidis



Abstract

Personalization of student evaluation data and learning application usage has the potential to provide targeted feedback to support self-directed learning and expertise development among learners in health professions education. To provide personalization, health professions programs need to leverage both: (1) the technical infrastructure and analysis for existing student data, and (2) understand the interrelated contexts of learning, teaching, and expertise development within the clinical context. Personalization is more than feeding back results to learners; it also moves into intelligent tutors. Tips for successful adoption of personalization in health professions education, including security, legal, and administrative concerns, are discussed.

Online Publication Date Sep 25, 2020
Publication Date 2021
Deposit Date Jan 26, 2023
Publisher Elsevier
Pages 137-150
Book Title Digital Innovations in Healthcare Education and Training
Chapter Number 9
ISBN 9780128131442; 9780128131459
DOI https://doi.org/10.1016/B978-0-12-813144-2.00009-X
Public URL https://nottingham-repository.worktribe.com/output/14895240
Publisher URL https://www.sciencedirect.com/science/article/pii/B978012813144200009X?via%3Dihub