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Record W2155053401 · doi:10.24908/pceea.v0i0.3609

EVALUATION OF A FIRST YEAR DESIGN COURSE

2011· article· en· W2155053401 on OpenAlexaffvenueabout
Tiffany Veltman, William Rosehart

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2011
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCourse (navigation)PropositionCourse evaluationStrengths and weaknessesComputer scienceMathematics educationEngineering managementPsychologyEngineeringHigher education

Abstract

fetched live from OpenAlex

In this paper, we discuss the evaluation of a first year design and communications course, implemented in the Fall of 2010 at the Schulich School of Engineering, University of Calgary.Operating on the proposition that providing a theoretical framework of design prior to the lab projects would improve the students’ ability to follow a design processThe remainder of this paper discusses the evaluation of the effectiveness of this revised course structure, in terms of both the student learning outcomes achieved, and the general student satisfaction of the course. Data was gathered from open and closed-ended surveys, as well as focus groups and interviews. The data from these sources was then triangulated, in order to obtain a holistic impression of the strengths and weaknesses of the course., the new design and communications course provides lectures on the principles of design, project management, and communication (verbal, written, and graphical), while weekly workshops require the students to apply their theoretical knowledge to practical applications.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.455
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.207
Teacher spread0.187 · 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

Citations1
Published2011
Admission routes3
Has abstractyes

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