edX participants’ profile: analysis of the factors that lead to the search for certification
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Massive Online Open Courses (MOOCs) are freely accessibleonline courses with open registration. This term was first coined in 2008when professors of University of Manitoba (Canada) started an onlinecourse free and open to anyone. In 2012, two platforms were launched, EdXand Coursera. Until now, these two platforms remain as the most popularMOOCs providers in the world attracting universities from all of thecontinents. The present study performs data analysis of Harvard and MITcourses available in EdX during the first four years of operation. Theobjective was to understand students’ and courses’ profiles and the factorsthat make certifications more attractive to the participants. This paper couldidentify some factors that contribute to students' motivation in obtainingformal certification. It was important to see that variables related toengagement impact in the inclination to obtain a certification. Furthermore,demographical characteristics as sex and age are relevant so that institutionscan focus on specific targets.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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