Evidence map›Paper›PMID 36714819›Full record

ArticleJournal of computing in higher education2023

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

Karen Sutherland, Ginna Brock, Margarietha J de Villiers Scheepers, Prudence M Millear, Sherelle Norman, Tim Strohfeldt, Terri Downer, Nicole Masters, Alison L Black

Abstract read
In one paragraph

Article in Journal of computing in higher education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Karen SutherlandUniversity of the Sunshine Coast, Sippy Downs, Queensland Australia.ORCID 0000-0002-9760-1173
Ginna BrockUniversity of the Sunshine Coast, Sippy Downs, Queensland Australia.
Margarietha J de Villiers ScheepersUniversity of the Sunshine Coast, Sippy Downs, Queensland Australia.
Prudence M MillearUniversity of the Sunshine Coast, Sippy Downs, Queensland Australia.
Sherelle NormanUniversity of the Sunshine Coast, Sippy Downs, Queensland Australia.
Tim StrohfeldtUniversity of the Sunshine Coast, Sippy Downs, Queensland Australia.
Terri DownerUniversity of the Sunshine Coast, Sippy Downs, Queensland Australia.
Nicole MastersUniversity of the Sunshine Coast, Sippy Downs, Queensland Australia.
Alison L BlackUniversity of the Sunshine Coast, Sippy Downs, Queensland Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Academic achievementBlended learningNon-traditional studentsSelf-efficacySelf-regulation

Identifiers

PMID36714819
PMCPMC9872746

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.