Development of a Web-Based GIS Learning Module for Community Asset Mapping to Enhance Service Learning in Social Work Education
Bibliographic record
Abstract
In recent years, service learning – a pedagogical approach that integrates learning through service in the community – has gained increasing popularity in higher education as a means to enhance student learning and civic engagement. Service learning is relevant to social work education because of its emphasis on social justice and the amelioration of social problems and field education through practicum sites. The benefits of service learning, however, are dependent on successful integration of this pedagogical approach into the classroom. By developing a web-based learning module, this project aims to explore the possibility of using community asset mapping and geographic information systems (GIS) as an integrated technology tool to promote service learning in social work education. An assessment of this module was conducted by a student survey. The overall positive feedback on the module indicates its contribution to social work study as well as its potential applicability to larger contexts. The project can serve as a starting point for developing best practices for the training of students in mapping and spatial thinking in their community practices that would benefit other disciplines as well. The project supports the university’s mission to improve student-centred, interdisciplinary, and innovative teaching and learning, and its commitment to enhance the economic and social well-being of the local communities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".