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Record W2910898955 · doi:10.24908/pceea.v0i0.13057

Engineering success: Using problem-based learning to develop critical thinking and communication skills in a Chemical Engineering classroom

2018· article· en· W2910898955 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.
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) · 2018
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCurriculumClass (philosophy)Project-based learningActive learning (machine learning)Computer scienceMathematics educationCooperative learningGroup workCommunication skillsCritical thinkingEngineering educationWork (physics)EngineeringTeaching methodEngineering managementPsychologyPedagogyMedical educationMechanical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

This paper discusses the implementation of a joint, end-of-term PBL exercise (a project lab) into our second-year chemical engineering curriculum at University of Toronto through two courses, Applied Chemistry Laboratory I (CHE204) and Communication (CHE299). The activity was designed to help students learn (i) research skills, (ii) how to select appropriate experiment techniques and equipment, (iii) how to design and conduct a research experiment, (iv) how to analyze real-world results, (v) how to communicate using a technical voice, (vi) how to work collaboratively in a group. Students were guided through the project with e-Learning modules, in-class active learning exercises, and written feedback, but were not provided with the type of detailed guidance typically provided in their LBL. Student feedback indicates that they are able to apply their learning from the activity to new contexts in a later assignment.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.004
GPT teacher head0.221
Teacher spread0.217 · 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