Students′ Perceptions of Skills Transfer in a First-Year Seminar
Bibliographic record
Abstract
First-year seminars that teach foundational academic skills are common in universities around the world, but few studies have been conducted to determine whether the specific skills students develop in these courses transfer to other academic contexts. Our research presents a case study that addresses this gap by measuring students' perceptions of the impact of a first-year seminar on the development of their test-preparation and test-taking skills. Interviews were conducted with 12 students who participated in a 90-minute module focusing on test-wiseness, retrieval practice, and strategies for studying for high-stakes multiple-choice question tests. We describe the module and summarize students' perceptions of this intervention. Students perceived the test-preparation and test-taking module to be effective and reported improved academic performance as well as enhanced self-efficacy. Students also reported transferring their test-preparation and test-taking skills to other contexts.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".