Using Nearpod as a Tool to Promote Active Learning in Higher Education in a BYOD Learning Environment
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
The present study aims to explore Nearpod as a tool to promote active learning in higher education. In this study, Nearpod is regarded as a tool that can be used to enhance teaching and learning for those lectures provided by male instructors to female students at Sharoura College of Science and Arts, Najran University. Hence, the Nearpod is integrated with video-conference learning system which is used as distance learning system to provide lectures by male lecturers to female students who study at a separate campus. Consequently, students’ own devices have been used to fulfil learning activities during classes. The author utilized the mainly quantitative research method and designed an electronic learning questionnaire applied to (74) female students. The findings of the study showed that the affordances of Nearpod and the BYOD model have promoted active learning in the classroom. Students were very satisfied with integrated learning environment, and they commended Nearpod in all courses specially those ones taught by video-conference learning system.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| 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