Student Perceptions of Open Education Practice: Navigating Privacy, Identity, and Collaboration with Participatory Technologies
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
Recent research in open education has increasingly focused on the potential of open educational practices (OEP) to foster equitable, accessible, and transformative learning experiences. This study explores students’ perceptions of openness in education, particularly within a fully online graduate program that integrates OEP. The research examines how learners navigate participatory technologies in an open pedagogy context, their shared practices and values, and the impact of open platforms on their learning experiences. Utilizing a virtual ethnographic case study approach, the findings reveal that while students appreciate the collaborative and empowering aspects of OEP, they also face challenges related to navigation, digital identity, and privacy. The study underscores the importance of critically examining the implementation of open platforms and the need for ongoing support to enhance digital literacy and effective use of open educational tools.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.002 | 0.003 |
| 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