Confronting Asian Concerns in Engaging Learners to Online Education
Bibliographic record
Abstract
Researchers have theorized that cultural emphasis on education plays a major role in explaining Asian students’ achievement. While Asian parents often view education as the main vehicle for upward social mobility, the social and cultural make-up of Asian societies and the context within which education is conducted in Asia often clash with the modern approaches and methodologies adopted into Asian classrooms. Contemporary approaches to education especially in relation to autonomous, learner-centred and online philosophies though theoretically supported and statistically proven successful in the west have been slow to capture Asian learners’ interest and engagement. This paper discusses some of the reasons for the problems and challenges that need to be confronted prior to the introduction and effective implementation of autonomous online learning programmes. It further describes an attempt at confronting the above issues through a research project conducted by group of academics from the National University of Malaysia. The paper concludes by featuring some of the principles and strategies employed in the online programme developed for the research and the implication of their use on learner engagement to online autonomous learning programmes.
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.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".