MétaCan
Menu
Back to cohort
Record W91654530 · doi:10.21061/jcte.v17i1.589

Competency-Based Versus Traditional Cohort-Based Technical Education: A Comparison of Students' Perceptions

2000· article· en· W91654530 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Career and Technical Education · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsYork University
Fundersnot available
KeywordsCurriculumPsychologyCohortMathematics educationMedical educationVocational educationPerceptionApprenticeshipPatiencePedagogyMedicineSocial psychology

Abstract

fetched live from OpenAlex

As part of a participant-observation study investigating technical education in Canada, students enrolled in pre-apprenticeship refrigeration mechanics courses at the community college level were interviewed. The responses of students enrolled in a 1-year, competency-based program were compared with the responses of students enrolled in a 36-week, traditionally-delivered, cohort-based program. The results suggest that the different curricula lead to different student experiences of the content. Most notable was a distinctly perceived split between the "theory" and the "practical" aspects of refrigeration mechanics by students in the traditional cohort-based program, whereas students in the competency-based program did not seem to perceive theory and practice as 2 distinct entities. Additionally, although students in both samples described histories of language and literacy difficulties, the competency-based program participants seemed less adversely affected by these weaknesses. However, students in both types of programs viewed patience and supportiveness as crucial aspects of good teachers.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.379
Teacher spread0.346 · 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