Developing a Personalised, Evidence-Based and Inclusive Learning (PEBIL) model of blended learning

Hassoulas, Athanasios ORCID: https://orcid.org/0000-0002-1029-1847, De Almeida, Andreia ORCID: https://orcid.org/0000-0002-6889-1503 and Coffey, Marcus 2023. Developing a Personalised, Evidence-Based and Inclusive Learning (PEBIL) model of blended learning. Presented at: AdvanceHE Teaching and Learning Conference 2023, Keele, UK, 4-6 July 2023. Education and Information Technologies. Springer, 10.1007/s10639-023-11770-0

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Abstract

Meeting the diverse learning needs of our students requires a flexible, tailored and innovative approach in ensuring the enhancement of the learning experience. A blend of live, in-person, synchronous, asynchronous, and interactive e-resources aims not only to facilitate learning using a range of teaching methods but also enables teachers to play to their strengths by delivering teaching in a way that is tailored to their needs as well. As such and based on extensive feedback collated from our student cohorts, we propose a new model of blended learning that ensures lesson designs, teaching tools and virtual/digital platforms promote a personalised, evidence-based and inclusive learning (PEBIL) experience. Join us as we explore how PEBIL was created and how it can be applied in practice.

Item Type:	Conference or Workshop Item (Paper)
Status:	Published
Schools:	Medicine
Subjects:	R Medicine > RZ Other systems of medicine
Publisher:	Springer
ISSN:	1360-2357
Date of Acceptance:	22 May 2023
Last Modified:	17 May 2024 10:00
URI:	https://orca.cardiff.ac.uk/id/eprint/168956

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