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Record W7133947373 · doi:10.15173/mi.v1i1.4977

The evolution of experiential learning in the Faculty of Engineering: From rogue experiment to curricular innovation and beyond

2022· book-chapter· en· W7133947373 on OpenAlexaff
Robert Vladimir Fleisig

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsMcMaster University
Fundersnot available
KeywordsExperiential learningExperiential educationEngineering educationActive learning (machine learning)Reflective thinkingEducational technologyHigher education

Abstract

fetched live from OpenAlex

Experiential-based learning in engineering education is nearly synonymous with student-centred, hands-on learning using design projects. The pedagogical model adopted by pioneers of this kind of learning in engineering is one step removed from lecture-based classes. That is, the pencil and paper assignment is simply replaced with a hands-on experience with little or no change in the learning outcomes, methods of assessment, and learner-support strategies. This paper argues that this pedagogical model has outlived its usefulness. Experiential learning ought to be employed as a means to train students in durable mindsets, behaviours, and ways of thinking. Just offering students a hands-on experience is not sufficient. In short, there is a need for a new way to think about experiential education in engineering. This reflective essay maps out the journey of one engineering educator’s rogue experiment with experiential education to new ways of thinking about it.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.959
Threshold uncertainty score0.591

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 head0.009
GPT teacher head0.225
Teacher spread0.215 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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