Janet Corral
Learning analytics, education data mining and personalisation in health professions education
Corral, Janet; Konstantinidis, Stathis; Bamidis, Panagiotis
Authors
STATHIS KONSTANTINIDIS STATHIS.KONSTANTINIDIS@NOTTINGHAM.AC.UK
Associate Professor
Panagiotis Bamidis
Contributors
STATHIS KONSTANTINIDIS STATHIS.KONSTANTINIDIS@NOTTINGHAM.AC.UK
Editor
Panagiotis Bamidis
Editor
Nabil Zary
Editor
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.
Citation
Corral, J., Konstantinidis, S., & Bamidis, P. (2020). Learning analytics, education data mining and personalisation in health professions education. In S. Konstantinidis, P. Bamidis, & N. Zary (Eds.), Digital Innovations in Healthcare Education and Training. Elsevier
Acceptance Date | Jan 15, 2019 |
---|---|
Online Publication Date | Sep 8, 2020 |
Publication Date | Sep 8, 2020 |
Deposit Date | Mar 21, 2019 |
Publisher | Elsevier |
Book Title | Digital Innovations in Healthcare Education and Training |
Chapter Number | 8 |
ISBN | 9780128131442 |
Public URL | https://nottingham-repository.worktribe.com/output/1673210 |
Related Public URLs | https://www.elsevier.com/books/digital-innovations-in-healthcare-education-and-training/konstantinidis/978-0-12-813144-2 |
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