Developing Useful and Transferable Skills: Course Design to Prepare Students for a Life of Learning
Bibliographic record
Abstract
This article examines evidence of academic skill development and transfer related to the taking of a first year Inquiry-based seminar course designed to enhance a range of self directed learning skills and their transferability to other learning contexts. The study compares a sample of academic work from two groups of Social Sciences students, one comprised of students who had taken the Inquiry course and the other who had not. The student work consists of 1) papers submitted by participants who were asked for the best paper they had written at university and 2) descriptive narratives provided by participants of the steps they took in researching and writing that paper. Qualitative and quantitative analysis by multiple raters using a blinded protocol was conducted. The results show both meaningfully higher paper and skill assessments for students who had taken the inquiry seminar and evidence of transfer of skills and strategy to other learning contexts, supporting the hypothesis that transfer of core skills occurs under particular learning conditions that can be fostered through course design and enhanced through specific pedagogical objectives.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".