Interdisciplinary Connections Across the Curriculum: Fostering Collaborations between Freshman and Capstone Students Through Peer-Review Assignments
Bibliographic record
Abstract
Cultivating interdisciplinary connections between freshman and capstone students epitomizes a novel pedagogical approach to deepen student understanding of the learning process in a Community College environment. Within such a context, this article focuses on the outcomes of a two-semester collaborative effort that aims to establish and strengthen interactions between students at opposite ends of the academic spectrum. The work discussed focuses on an initiative in which capstone students in their culminating college class are supported in using their educational experiences to guide their first-year peers as they make the transition to college life. After discussing the creation and implementation of scaffolded collaborative assignments in which capstone students peer-reviewed freshman students work, the paper analyzes the impact of the research on student understanding of the learning process, the outcomes of self-reflection activities, student integration of knowledge and skills from diverse sources and the quality of their work in the peer-review endeavor.
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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 | 0.001 | 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 | 0.001 | 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) | 0.001 | 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".