MOOC: PLATFORMS FOR SCIENCE EDUCATION AND THEIR RELEVANCE FOR TEACHERS AND STUDENTS
Bibliographic record
Abstract
A massive open online course (MOOC) is a free Web-based separation learning program that is intended for the interest of vast quantities of geologically scattered students. A MOOC might be designed on a school or college course or might be less organized. In spite of the fact that MOOCs don't generally offer pedagogic credits, they give instruction that may empower declaration, work or further examinations. The word MOOC was authored in 2008 by Dave Cormier, from the University of Prince Edward Island for a course offered by the University of Manitoba, Connectivism and connective information. Massive Open Online Courses, MOOCs, Transform Higher Education and Science. Science, building and innovation courses have been in the front line of the huge open online course development. These classes additionally are giving feed to logical research on learning.
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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 | 0.014 | 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 | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| 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".