Experiential Assessment as an Alternative to Traditional Examinations in Engineering
Bibliographic record
Abstract
Following the return of in-class teaching, in-person experiential education activities can be once again considered. Herein, an experiential test (midterm) was constructed for a second year Civil Engineering Materials course in Canada. The midterm was held during the semester’s reading week and students had one week to complete the assessment. The students visited an outdoor large central park in Toronto with written instructions to what they were to study on site. Questions were based on the student’s examination of materials at the site and related to the six learning outcomes of the course with associated graduate learning attributes. These students were then to film their answers at the site and compile these videos for a group presentation-based submission. The graded results saw increased student perception and significance of learning outcomes in the course compared to written in-class midterms in the same course which demonstrated continual development of the course. Student feedback was considered for the development of future versions of this midterm.
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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 | 0.001 | 0.001 |
| 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".