How Korean Language Arts Teachers Adopt and Adapt Open Educational Resources: A Study of Teachers’ and Students’ Perspectives
Bibliographic record
Abstract
<p class="3">Since 2005, open educational resources (OER) have played a key role in K-12 education in South Korea; so far, however, there has been little discussion about OER efficacy in South Korean K-12 education. In the meantime, South Korean education has been attracting a lot of interest around the world. Former U.S. President Obama’s comments about South Korean education might also be caused by South Korean students’ academic performance evaluated by international large-scale assessments such as the Program for International Student Assessment (PISA). This article uses an ethnographic perspective to explore the experiences of teachers and students in the Korean context. The analysis of the findings shows how teachers adopt and adapt OER for their 12<sup>th</sup> grade (the final year of secondary school) Korean language arts classes. Through classroom observations, interviews, and questionnaires, this exploration revealed that nearly 92% of the students perceived OER as beneficial to their studies and that teachers were spurred on to orchestrate differentiated instructional plans by OER. We argue that there is significant value to using OER in the formal educational curriculum, but that a lack of knowledge of how to adapt OER restricts how their potential is realized in practice. We identify implications for maximizing OER adaptation and successful usage of OER in K-12 education.</p>
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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 | 0.007 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.004 |
| 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".