Spanish Adult Students’ Intention- Behaviour Toward MOOCs During the COVID-19 Pandemic
Bibliographic record
Abstract
Many Spanish students need to learn English beyond the age of 25 to be able to find a job or be further promoted. Unfortunately, those who attempt to pass a university entry-qualifications test often lack the required academic level. To help them achieve this goal, they are usually provided with learning materials and supportive digital resources. During the covid-19 pandemic, the need for online resources increased. This is why the National Distance Education University offered a massive open online course (mooc) on elementary English. The main goal of this contrastive qualitative study was twofold: First, it attempted to explore adult students’ intention-behaviour while taking the course. Secondly it delved into students’ satisfaction with this type of courses during two different years: 2017 and 2020 when the pandemic had a clear impact on distance education. For this purpose, the study used a comprehensive post-questionnaire given at the end of both courses. The data revealed a few significant differences regarding students’ satisfaction, intentions, perceptions, and interests in contexts where face-to-face-learning was not an option. These findings suggest that mooc should be considered as an alternative way to build specific content in situations of crisis.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".