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Record W1941413737 · doi:10.24908/pceea.v0i0.3643

CURRICULUM ENHANCEMENT AND EVALUATION OF GRADUATE ATTRIBUTES AND OUTCOMES THROUGH STUDENT-RUN FORUMS

2011· article· en· W1941413737 on OpenAlex
Dario Schor, Kathryn Marcynuk, M. Sebastian, Witold Kinsner, Ken Ferens, Cyrus Shafai, Nariman Sepehri

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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2011
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of Manitoba
FundersUniversity of Manitoba
KeywordsAccreditationCurriculumCapstoneClass (philosophy)Medical educationAdaptation (eye)Computer sciencePedagogyPsychologyMedicine

Abstract

fetched live from OpenAlex

The evolution of a curriculum involves changes at many different levels such as daily changes to reflect questions or areas of interest of a particular class, improvements to an established course based on observations from the professor, or more significant changes to streams of courses at a departmental level, or adaptation to suggested accreditation guidelines such the recent new Canadian Engineering Accreditation Board (CEAB) graduate attributes and outcomes. Most educational institutions have means of collecting data and assessing individual courses or streams of courses based on student performance, course evaluations, and professor assessments. However, since more can be done to gauge the collective effect of changes before students get to their final year capstone project or go into industry, a student-run curriculum forum has been established.This paper presents some of the lessons learned from the bi-annual student-run curriculum forums in the Department of Electrical and Computer Engineering at the University of Manitoba. Based on the experience acquired so far, this paper outlines the organization of the curriculum forums, suggestions on guided discussions, ways to present feedback, and means of communicating to students how their feedback is being used to improve the curriculum.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.646

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)0.0000.000

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 head0.024
GPT teacher head0.251
Teacher spread0.227 · 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