Reflective practice in service learning: possibilities and limitations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The paper seeks to promote the integration of reflective learning within a broader service learning pedagogy at the undergraduate university level. Furthermore, it aims to illustrate various models for service learning that span multiple academic disciplines. Design/methodology/approach The paper illustrates three ways in which reflective learning can be used to enhance the learning potential of service learning pedagogy. The subjective experiences inform its own stories that it presents as examples, supported as they are by the findings of prior empirical studies. Findings The paper believes that multi‐dimensional learning has been achieved in each of the three examples presented. Service learning extends the academic learning of students and allows for personal and societal learning to occur, not simply as a result of having a service experience, but of spending time reflecting on it. Practical implications Practical implications are particular to the students themselves, as the service experiences it describes have, in some instances, helped to clarify individual students' values and vocational interests. Social implications Given the range of service learning models contained in these examples, the social implications likewise range, yet share common dimensions of increasing students' social consciousness, appreciation of diversity, and their own capacities to contribute. Originality/value The originality of this paper lies in the linking of reflective learning to service learning best practices to highlight the particular role of reflection in the production of multi‐dimensional learning.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| 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 | 0.000 |
| 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 it