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Record W3112379197 · doi:10.20961/ijpte.v4i2.43070

Effect of the Instruction Time of the Day on Student Learning

2020· article· en· W3112379197 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

VenueIJPTE International Journal of Pedagogy and Teacher Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsMcMaster UniversityMohawk College
Fundersnot available
KeywordsConstructivism (international relations)Mathematics educationMorningClass (philosophy)PsychologyComputer sciencePedagogyArtificial intelligenceMedicine

Abstract

fetched live from OpenAlex

<p class="Abstract">In this work, we analyze the effect of the instruction time of the day on student learning in a programming course taught to first-year undergraduate students in an engineering program. A total of 174 students were split into three different sections, each having a different class time. All sections were taught the same material and by the same instructor. It was found that students in the morning and early afternoon sections performed better than the students in the late afternoon section. In all three sections, there is evidence of long-term retention of concepts, which is attributed to the intervention based active learning environment that uses the principles of constructivism. Specifically, the techniques of reinforcement and feedback help with long term retention and avoiding learning of wrong concepts with immediate corrective feedback.</p>

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)0.003
metaresearch head score (Gemma)0.002
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 score0.372
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
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 head0.025
GPT teacher head0.441
Teacher spread0.416 · 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