Service-Learning in Egypt: Effects of Demographics, Course Features, and Community Engagement on Civic and Developmental Outcomes for University Students
Bibliographic record
Abstract
Although service-learning is spreading in various geographic locations across the globe, the majority of extant literature is based in the U.S. Additionally, past research focused largely on investigating student outcomes through this pedagogy with little attention to exploring the impact of variations among service-learning courses and students. This study addressed these gaps by examining how individual differences among students, course characteristics, and overall community engagement may relate to civic and developmental outcomes for college students through service-learning. Sixty one students at a private university in Egypt completed survey questionnaires. Students’ Demographics and Course Characteristics Composites predicted students’ reports of enhanced community awareness. The Overall Community Engagement Composite contributed to students’ reported outcomes of both enhanced community awareness and interpersonal effectiveness skills. The study suggests lines of research for scholars committed to advancing rigorous engaged scholarship and discusses implications for practitioners seeking to deepen service-learning outcomes.
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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 | 0.002 | 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".