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Autor/inn/enHassoulas, Athanasios; de Almeida, Andreia; West, Hannah; Abdelrazek, Mohamed; Coffey, Marcus J.
TitelDeveloping a Personalised, Evidence-Based and Inclusive Learning (PEBIL) Model of Blended Learning: A Cross-Sectional Survey
QuelleIn: Education and Information Technologies, 28 (2023) 11, S.14187-14204 (18 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Hassoulas, Athanasios)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1360-2357
DOI10.1007/s10639-023-11770-0
SchlagwörterModels; Evidence Based Practice; Blended Learning; Medical Education; Educational Technology; Foreign Countries; Electronic Learning; Medical Students; Student Experience; Student Satisfaction; Undergraduate Students; Educational Quality; United Kingdom (Wales)
AbstractWhilst the use of various blended learning models preceded the COVID-19 pandemic, the abrupt shift to remote delivery served as catalyst within the sector in enhancing digital solutions to meet immediate student needs. As we emerge from the pandemic, a return to purely didactic and impersonal in-person teaching seems anticlimactic, with the return to the lecture theatre seeing many lecturers trialling various digital tools in creating more interactive in-person, synchronous, and asynchronous sessions. In evaluating students' experiences of the various tools and approaches applied by academic staff, a survey was developed by a multidisciplinary team of educators at Cardiff University's School of Medicine exploring student perceptions of e-learning resources (ELRs), as well as student experiences of various blended learning approaches. The primary aim of this study was to evaluate student experience, satisfaction, and engagement with ELRs and blended learning. A total of 179 students (undergraduate and postgraduate) completed the survey. 97% confirmed that e-learning resources were blended within the teaching they received, with 77% rating the quality of e-learning as good-to-excellent and 66% reporting a preference for asynchronous resources that enable them to learn at their own pace. A variety of platforms, tools, and approaches were identified by students as meeting their diverse learning needs. We therefore propose a personalised, evidence-based and inclusive learning (PEBIL) model enabling the application of digital technologies both on and offline. (As Provided).
AnmerkungenSpringer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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