Student perceptions of the creation and reuse of digital educational resources in a community development-oriented organisation
Bibliographic record
Abstract
This case study explores students’ perceptions of the creation and reuse of digital teaching and learning resources in their work as tutors as part of a volunteer community development organisation at a large South African University. Through a series of semi-structured interviews, student-tutors reflect on their use and reuse of digital educational resources, and identify the challenges they experience in curating, adapting, and reusing educational resources for use in their teaching activities. The data is analysed qualitatively within the framework of an activity system (Engeström, 1987) to surface the primary systemic tensions that student-tutors face in the reuse of resources found online as well as open educational resources (OER). This study found that student-tutors sourced and used educational materials from the Internet, largely irrespective of their licensing conditions, while also creating and remixing a substantial number of educational materials to make them suitable for use in their context. We conclude that greater awareness of the availability of OER and explicit open licencing for works sourced and created within community development organisations could enhance sharing, collaboration, and help sustain high impact resources.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".