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Record W1841734186 · doi:10.24908/pceea.v0i0.3817

COMPARING STUDENT ASSESSED COMPETENCIES IN PBL AND TRADITIONAL ECE PROGRAMS

2011· article· en· W1841734186 on OpenAlexafffundvenue
Paula Lawrence, C. A. Hennessey, J. Calviño-Fraga, A. Ivanov, D.L. Pulfrey, Septimiu E. Salcudean, M. Yedlin, Micah Davies, Lukas Chrostowski, Julie Madden, S. Mirabbasi, K. Walus

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2011
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaAalborg Universitet
KeywordsTeamworkMedical educationProject-based learningMathematics educationPsychologyProblem-based learningMedicinePolitical science

Abstract

fetched live from OpenAlex

Since 1999, both traditional and project based learning (PBL) programs have been offered to second year ECE students at the University of British Columbia. This paper describes the structure of the PBL program and a student evaluation of their competencies. The evaluation was carried out by a survey of third and fourth year students who passed through either the PBL or the traditional program. Results of the evaluation indicate that the former PBL students felt significantly more improved than the traditional students in their design-related abilities and some of their teamwork abilities evaluated by the survey.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.682

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)0.0000.000

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 head0.022
GPT teacher head0.191
Teacher spread0.169 · 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 teacher head, 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

Citations0
Published2011
Admission routes3
Has abstractyes

Explore more

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