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Record W2624505990 · doi:10.5430/wje.v7n3p14

Narrated Video Clips Improve Student Learning

2017· article· en· W2624505990 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

VenueWorld Journal of Education · 2017
Typearticle
Languageen
FieldPsychology
TopicVisual and Cognitive Learning Processes
Canadian institutionsnot available
FundersVillanova University
KeywordsCLIPSClass (philosophy)Computer scienceMultimediaMathematics educationFace (sociological concept)Test (biology)Blended learningEducational technologyPsychologyArtificial intelligence

Abstract

fetched live from OpenAlex

The purpose of this study is to determine whether viewing narrated video clips improves student learning. The studywas conducted with undergraduate, mostly Biology majors, in an Animal Physiology course held in successivesemesters. When both classes were given the same face-to-face lectures and identical online resources theirperformance on an exam with the same multiple choice questions was not statistically different (two-tailed, unpairedt-test). However, when one group was also given unlimited online access to narrated video clips, these studentsperformed statistically better on a second exam with identical multiple choice questions. An attitudinal surveyshowed that students used the video clips as an introduction to the interactive animations and simulations and asstandalone mini-lectures, and they indicated that viewing the clips was the best and most efficient way to learnphysiological concepts. While this study used narrated video clips to augment traditional face-to-face instruction,they could be used in a flipped-class, a blended class, and for distance learning.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.033
GPT teacher head0.422
Teacher spread0.389 · 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