SPATIAL THINKING AND COMMUNICATIONG: A COURSE FOR FIRST-YEAR UNIVERSITY STUDENTS
Bibliographic record
Abstract
This paper describes a course on spatial thinking and communicating designed by an interdisciplinary team and offered to first-year university students. An important goal was to introduce spatial thinking while accommodating the needs of the students from diverse backgrounds, educational goals and career pathways. Students in a first-year interdisciplinary cohort of 340 represented Mechatronics Systems Engineering, Business, Interactive Arts, Communications, and Computing Science. A major feature of the course design was an integrated laboratory, which served to amplify lecture content via practicing exercises aimed at developing their abilities to think and work spatially in 2D and 3D using tools including pencil and paper, digital and physical Lego, and a computer-aided design system. We describe our course design and team-teaching processes, realities that constrained our choices, the tools we use to assist our decision making during course design and delivery, and the structure and function of the teaching team. We also present selected student artifacts to demonstrate how students learned to think spatially. We then identify lessons-learned and revision plans.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".