DEVELOPING SYSTEMS THINKING SKILLS: A HIGH-SCHOOL COURSE ON ENGINEERING DESIGN
Bibliographic record
Abstract
A unique course has recently been developed at the Technion – Israel Institute of Technology for 12th grade students majoring in physics and electronics. During the course students are required to complete – on a team basis – various engineering tasks. The aims of the course are to increase its graduates’ motivation to study science and engineering, to develop their systems thinking skills, and to train them in teamwork. The study described in the paper examined to what degree the course’s second goal (developing systems thinking) had been attained. Thirty-two 12th graders participated in the study, which utilized quantitative tools alongside qualitative ones. The students were asked to fill out an anonymous questionnaire at the beginning and the end of the course. The questionnaire was a five-level Likert scale based on the CEST (Capacity for Engineering Systems Thinking) questionnaire. Additionally, semi-structured interviews were held with students at the end of the course. The study indicates an improvement in students’ systems thinking skills – characterized by a large effect size.
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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 | 0.005 | 0.021 |
| 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 | 0.001 | 0.000 |
| 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".