Empowering Mobile Assisted Social E-Learning: Students’ Expectations and Perceptions
Why this work is in the frame
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Bibliographic record
Abstract
The aim of the present study was to empower mobile assisted social e-learning (eMASE) module that was designedbased on social constructivism theory in higher education settings. This study reports findings from a group ofundergraduates’ expectations and perceptions of e-cooperative learning using mobile social networking apps. TheeMASE module of the course was carefully designed by organizing various group activities which were emphasizedto encourage social interaction and promote collaborative learning among students. The data come from two sets ofquestionnaires administered at the start and end of the course. The results indicated that using Web 3.0 technologiesin a learning environment was effective in enhancing collaboration and promote students’ learning motivation andconfidence.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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