Developing in engineering students a critical analysis about sustainability in productive systems
Bibliographic record
Abstract
Purpose The Mechanical Engineering course at the University of Campinas is composed of different disciplines in the areas of materials, mechanical design, manufacturing (production and manufacturing), computational systems, thermal and fluids. In the manufacturing area, in particular, there is a discipline entitled Productive Systems whose main objective is to offer to the student a global vision about operations management. In the field of operations management, sustainability is gaining more and more importance; thus, it is important to develop in the students a critical sense about social and environmental aspects. Thus, this paper aims to present the main initiatives developed in the discipline to promote sustainability in engineering students. Design/methodology/approach Since 2015, the professors responsible for the Productive Systems discipline, assisted by post-graduate students and professors from other universities, have begun to redesign the discipline, including debates, lectures, projects and other initiatives to provide a critical view concerning the traditional concepts taught. The discipline has been performed three times with this new conception. The methodology to structure this research was literature review, documental analyses of the discipline records and meetings with professors that participated in the initiatives. An Action Research approach was performed by two professors and a graduate student. The authors of this paper also compared the results with those obtained by initiatives performed at Chalmers University of Technology (Sweden). Findings This study allowed to reinforce some results from initiatives performed at Chalmers University of Technology (Sweden); however, some differences were identified. For example, similar to the initiatives mentioned, the professors of University of Campinas had problems with didactic books, as they loosely integrate the basic operations management concepts with sustainable development fundamentals. On the other hand, debates related to social sustainability were considered positive from the point of view of the professors and students, differing from initiatives performed at Chalmers University of Technology. Research limitations/implications Results come from one field study (University of Campinas) when professors of the Mechanical Engineering course try to integrate operations management concepts and sustainable development. Different results may be observed by other higher education institutions. Practical implications The authors of this paper believe that the diffusion of these initiatives can stimulate other professors and researchers in the field to broaden the academic debate about the insertion of sustainability into engineering courses. Originality/value There are few papers presenting didactic experiences and empirical results about the integration of operations management concepts and sustainable development. Results of this paper reinforce some good practices and they also present other ones, in a way that extend the debate about educational engineering.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".