Exploring the application of college student role models in service-learning pedagogy
Bibliographic record
Abstract
Purpose Service-learning (SL) is a widely accepted pedagogy that can enrich the learning experience for students in higher education while they apply their skills in a meaningful community service. This research is part of a larger project that aimed to motivate educational achievement among youths living in a priority neighborhood through SL. Toward this goal, this study investigated the impact of SL on the college students from a college information technology programmer-analyst (ITPA) program, who were deployed as role models to youths in a priority neighborhood on the east coast of Canada. Design/methodology/approach The overall project used the design-based methodology. Seven college students were deployed in two phases to a community center as role models for the delivery of science, technology, engineering, art and mathematics (or STEAM) programs to youths living in a priority neighborhood. Data were collected using open-ended survey, journal entries and focus groups and was qualitatively analyzed by drawing on two frameworks: the experiential-learning framework by Kolb (1984) and the conceptual SL framework by Ash and Clayton (2009). Findings The findings describe the outcome of the college students' experiences in SL with respect to the development of skills and capacities needed by employers. Specifically, their experiences mirrored all aspects of the two frameworks applied. Therefore, the study validates the use of SL pedagogy in higher education. In addition, the study identified the role of SL as an integration strategy for international students. While the research contributes to the wider SL conversation for policymakers, faculty and administrators of higher education, it also promotes development opportunities for college students. Originality/value The integration of SL pedagogy is widespread among programs in higher education. However, there are no common SL frameworks used in literature. The study is novel in that it combines two theoretical frameworks – Kolb (1984) and Ash and Clayton (2009) in explaining the outcomes. In addition, it uses two high-impact educational practices – SL and role modeling to improve educational attainment for college students.
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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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".