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Record W3082661888 · doi:10.1108/intr-04-2019-0155

The determinants of learner satisfaction with the online video presentation method

2020· article· en· W3082661888 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternet Research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsUniversity of British ColumbiaToronto Metropolitan University
Fundersnot available
KeywordsOriginalityPerspective (graphical)Presentation (obstetrics)Blended learningTest (biology)Value (mathematics)PsychologyMultimediaComputer scienceHigher educationMathematics educationEducational technologySocial psychologyCreativityArtificial intelligence

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine the determinants of learners' satisfaction with a new blended learning method, namely online video presentations. Design/methodology/approach The study tests the proposed model using responses from 353 students who were exposed to the new method. Regression analysis was used to test the hypotheses. Findings The results show that both the perceived social (e.g. reduction in comparison bias) and utilitarian (e.g. presentation originality) benefits increase satisfaction with the online video presentation method, from both the creator's and the learner's perspectives. Practical implications This study provides several guidelines to instructors employing blended learning methods, as well as designers of platforms that enable blended learning. Originality/value This study provides a model to understand the determinants of learners' satisfaction with a new blended learning method. It looks at these determinants from both the content creators' perspective and the content viewer's perspective.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.127
GPT teacher head0.494
Teacher spread0.367 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it