Factors for Development of Learning Content and Task for MOOCs in an Asian Context
Why this work is in the frame
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Bibliographic record
Abstract
<p class="apa">The rapid advancement of emergent learning technologies has led to the introduction of massive open online courses (MOOCs) which offer open-based online learning courses to a large number of students. In line with the advancement, the Malaysia Ministry of Education has recently initiated Malaysia MOOCs via collaboration with four public universities. This paper proposes factors that could be used in development of MOOC learning content, which are: (i) type of MOOC, (ii) type of video lectures, (iii) integration of cultural aspects in video lectures, (iv) communication style in video lectures; and (v) humor effect in video lectures. The paper also proposes factors in developing MOOC learning tasks, namely: (i) structure of learning tasks; (ii) dialog in learning tasks; (iii) learner autonomy in learning tasks; (iv) social settings of learning tasks; and (v) transactional distance of learning tasks. The factors are based on experiences during development of MOOC for ethnic relations and are aligned with learning concepts and strategies such as the transactional distance theory and the theory of the computer model of a sense of humor. Future directions on the development and research on MOOCs are also proposed.</p>
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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 | 0.001 |
| 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 it