Open learning design for using open educational practices in high school learning contexts and beyond
Bibliographic record
Abstract
Purpose There is a need for research that examines how digital networks can support all learners in open access to people, resources and experiences that were previously inaccessible in K-12 learning contexts. This study aims to examine the potential of open education theories and open practices in high school learning environments. Design/methodology/approach Using a design-based research approach, this study used the open learning design intervention framework to examine the experiences of a researcher, a teacher and Grade 10 students who expanded their learning from formal to informal learning environments by integrating open educational practices (OEP). The research occurred through three specific phases with iterative cycles that were responsive to research participants and data analysis at each phase. Findings The key findings suggest that open learning in high school is dependent upon opportunities for learners to co-design personally relevant learning pathways. The emerging design framework highlighted the need to emphasize the complexity of the students’ lived experiences in connection with the curriculum (formal learning environments) to promote a diversity of perspectives and shared connections (in informal learning environments). Second, learners need the opportunity to share their learning experiences collaboratively and individually by transparently demonstrating their learning processes in relevant ways and open practices provide the digital and community spaces to share knowledge. Finally, open learning occurs through stages and continuums and is a personal learning experience that transcends the boundaries of formal learning environments. Originality/value This study expands the current conceptual framework of open learning design by contributing a K-12 lens from which to consider the potential of OEP to promote personal learning pathways. Although the research considered a K-12 context, the OLDI Framework can be extended upon and used in any open learning design context including higher education.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.001 |
| 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".