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Record W4402614503 · doi:10.23977/aetp.2024.080518

Understanding the Relationship between Support Provided to Students and Their Engagement in an Online Learning Environment: A Moderated Mediation Model

2024· article· en· W4402614503 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2024
Typearticle
Languageen
FieldComputer Science
TopicEducation and Learning Interventions
Canadian institutionsnot available
FundersZhejiang Sci-Tech University
KeywordsMediationModerated mediationPsychologyOnline learningSocial psychologyComputer scienceMultimediaSociology

Abstract

fetched live from OpenAlex

This study aims to develop a moderated mediation model to explore the mediating role of online learning satisfaction and the moderating role of interaction between online course support and students' online engagement. According to self-determination theory, technology acceptance model and Fogg's Behaviour Model, we conducted a survey with students to develop the moderated mediation model, multiple regressions were employed to examine moderated mediation effect. Online learning satisfaction plays a significant mediating role between online course support and students' online engagement. The mediating effect was partially moderated by online learning interaction. The results revealed that when students had a higher level of online learning interaction, the predictive effect of online course support on their online engagement via online learning satisfaction was stronger. The moderated mediation model provides a deeper understanding of the online learning and offers potential strategies to improve students' engagement with online courses.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.164
GPT teacher head0.435
Teacher spread0.271 · 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