Non-traditional students' preferences for learning technologies and impacts on academic self-efficacy.

Academic achievement Blended learning Non-traditional students Self-efficacy Self-regulation

Journal

Journal of computing in higher education
ISSN: 1042-1726
Titre abrégé: J Comput High Educ
Pays: United States
ID NLM: 9886086

Informations de publication

Date de publication:
24 Jan 2023
Historique:
accepted: 13 01 2023
entrez: 30 1 2023
pubmed: 31 1 2023
medline: 31 1 2023
Statut: aheadofprint

Résumé

Blended Learning (BL) as a pedagogical approach has increased in significance during the COVID-19 pandemic, with blended and online learning environments becoming the new digital norm for higher educational institutions around the globe. While BL has been discussed in the literature for thirty years, a common approach has been to categorise learner cohorts to support educators in better understanding students' relationships with learning technologies. This approach, largely unsupported by empirical evidence, has failed to adequately address the challenges of integrating learning technologies to fit with non-traditional students' preferences, their BL self-efficacy and the associated pedagogical implications. Focusing on student preference, our study presents findings from a pre-COVID survey of undergraduate students across four campuses of an Australian regional university where students shared their learning technology preferences and the self-regulated learning that influenced their academic self-efficacy in a BL context. Findings show students want consistency, relevance, and effectiveness with the use of BL tools, with a preference for lecture recordings and video resources to support their learning, while email and Facebook Messenger were preferred for communicating with peers and academic staff. Our study suggests a quality BL environment facilitates self-regulated learning using fit-for-purpose technological applications. Academic self-efficacy for BL can increase when students perceive the educational technologies used by their institution are sufficient for their learning needs.

Identifiants

pubmed: 36714819
doi: 10.1007/s12528-023-09354-5
pii: 9354
pmc: PMC9872746
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-22

Informations de copyright

© The Author(s) 2023.

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Auteurs

Karen Sutherland (K)

University of the Sunshine Coast, Sippy Downs, Queensland Australia.

Ginna Brock (G)

University of the Sunshine Coast, Sippy Downs, Queensland Australia.

Margarietha J de Villiers Scheepers (MJ)

University of the Sunshine Coast, Sippy Downs, Queensland Australia.

Prudence M Millear (PM)

University of the Sunshine Coast, Sippy Downs, Queensland Australia.

Sherelle Norman (S)

University of the Sunshine Coast, Sippy Downs, Queensland Australia.

Tim Strohfeldt (T)

University of the Sunshine Coast, Sippy Downs, Queensland Australia.

Terri Downer (T)

University of the Sunshine Coast, Sippy Downs, Queensland Australia.

Nicole Masters (N)

University of the Sunshine Coast, Sippy Downs, Queensland Australia.

Alison L Black (AL)

University of the Sunshine Coast, Sippy Downs, Queensland Australia.

Classifications MeSH