Measuring Students’ Motivation to Engage in Sustainable Engineering Practice
Bibliographic record
Abstract
Abstract – Worldwide, political and professional organizations consider engineering to be a key profession in the application of sustainable development to solve global problems. In order for engineering professionals to play a key role in sustainable development, they must be motivated to engage in such practice. The purpose of this study is to develop a measure of students’ motivation to engage in sustainable engineering practice. A survey instrument was developed by applying a mixed-method approach consisting of a survey instrument design phase, small pilot study, and national study.
 The proposed survey instrument includes 3 openended and 40 closed-ended questions to measure previous experiences and stereotypes, self-concept of abilities, and subjective task value with respect to sustainable engineering practice. Factor analyses of the closed-ended questions resulted in the identification of 7 factors, 5 of which can be considered to be strong factors. Evidence for validity and reliability is established through the pilot study and factor analyses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".