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The Effects of Virtual Lab Delivery on Motivation, Learning, and Academic Success

2024· article· en· W4396665305 on OpenAlexaffvenue
Erin Dancey, Michael Williams-Bell

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsDurham College
Fundersnot available
KeywordsHumanitiesPsychologySociologyPolitical scienceArt

Abstract

fetched live from OpenAlex

In March 2020, a significant amount of education moved online because of the COVID-19 pandemic restrictions. Due to these restrictions, Durham College offered an alternative online synchronous option (virtual lab delivery) in September 2021 and students were given an option to select their preferred lab option for one course, Fitness Assessment 1. While online delivery has advantages (accessibility, convenience, and reduced costs), student success requires elevated levels of motivation and the capacity to self-direct learning. It is important to ensure the quality of online synchronous delivery in post-secondary education and investigate how a virtual lab option (online synchronous delivery) impacts self-directed learning (SDL), motivation, self-regulated learning (SRL), and academic success. Students were recruited from the virtual lab group (n = 13) and the in-person lab group (n = 10) and completed questionnaires at baseline (week 1) and following the course (week 14). The effect of SRL and motivation was measured by the Motivated Strategies for Learning Questionnaire (MSLQ) and the effects of SDL was measured by the Self-directed Learning Readiness Scale (SDLRS). This study also investigated the impact of delivery method on academic success (as measured by final calculated grade). Both delivery groups scored >150 on the SDLRS at both timepoints indicating a high readiness for self-directed learning. There was a significant effect of delivery method for the overall MSLQ score (p = 0.009) as well as the MSLQ learning domain (p = 0.005) with higher scores achieved by the virtual learning group. There was a trend towards higher final calculated grade for the in-person delivery group (84.3%) as compared to the virtual group (80.1%). These findings suggest that the students who selected the virtual learning option possessed a greater capacity to self-regulate their learning process using metacognitive and behavioral strategies. This has implications for post-secondary education design and implementation as certain predispositions may make some students more likely to engage in self-directed learning and students may require differential educational approaches based on these differences.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.026
GPT teacher head0.339
Teacher spread0.313 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes2
Has abstractyes

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