Hybrid flexible (HyFlex) teaching and learning: climbing the mountain of implementation challenges for synchronous online and face-to-face seminars during a pandemic.

Dual mode Higher education HyFlex Hybrid flexible Innovation Learning space

Journal

Learning environments research
ISSN: 1387-1579
Titre abrégé: Learn Environ Res
Pays: Netherlands
ID NLM: 101610983

Informations de publication

Date de publication:
2023
Historique:
received: 17 08 2021
accepted: 08 03 2022
pubmed: 12 4 2022
medline: 12 4 2022
entrez: 11 4 2022
Statut: ppublish

Résumé

In 2020, King's College London introduced HyFlex teaching as a means to supplement online and face-to-face teaching and to respond to Covid-19 restrictions. This enabled teaching to a mixed cohort of students (both online and on campus). This article provides an outline of how such an approach was conceptualized and implemented in a higher-education institution during an intense three-month period over that summer and prior to the limited re-opening of the university campus. This was a new approach that offers a number of pointers for reflection and provides key insights in on this novel learning environment and the physical and pedagogical contexts in which learning can occur. Technical implementation factors are detailed, along with both reflections on challenges and solutions. Pedagogical issues such as cognitive load, social presence, and resolving the issues of a cohort spread across two locations are discussed. While we should be mindful of the limitations of this relatively-specific research, and shouldn't therefore over-extrapolate our findings, one key finding is that delivering Hyflex is associated with a higher cognitive load. Further, the audio quality of our implementation enhanced the feeling of presence in the learning environment. We recommend providing appropriate technical and pedagogical training, as well as audio-visual and digital education support.

Identifiants

pubmed: 35399562
doi: 10.1007/s10984-022-09408-y
pii: 9408
pmc: PMC8982310
doi:

Types de publication

Journal Article

Langues

eng

Pagination

145-159

Informations de copyright

© The Author(s) 2022.

Références

Prospects (Paris). 2020;49(1-2):91-96
pubmed: 32313309
Nat Mater. 2020 Jun;19(6):687
pubmed: 32341513
Front Robot AI. 2018 Oct 15;5:114
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Auteurs

Michael Detyna (M)

Centre for Technology Enhanced Learning, King's College, London, SE1 9NH UK.

Rodrigo Sanchez-Pizani (R)

King's College, London AV, Strand, WC2R 2LS UK.
School of the Built Environment and Architecture, London South Bank University, London, UK.

Vincent Giampietro (V)

Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK.
Curriculum & Digital Innovation, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK.

Eleanor J Dommett (EJ)

Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK.

Kyle Dyer (K)

Department of Addictions, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK.
Curriculum & Digital Innovation, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK.

Classifications MeSH