Effectiveness of Flipped Learning: Improving Pre-Service Teachers’ Prowess in Producing Videos
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
In the current study, the aim is to determine the effectiveness of flipped learning approach in developing pre-service teachers’ skills and knowledge in creating and editing digital videos. Furthermore, the approach was evaluated through the theoretical lens of constructivism and experiential learning. This research was conducted within a workshop course for six weeks period during the summer semester of the 2018-2019 academic year at a teacher training college in Kuwait. In the study, pre-test/post-test quasi-experimental design with control group was applied. The experiment involved applying a flipped learning approach to the experimental group while the courses were carried out using traditional lectures in the control group. A questionnaire was also administered to the experimental group to acquire feedback on the effectiveness of flipped learning activity. Descriptive statistics, Mann Whitney U Test and Wilcoxon Sign Test were used in the analysis of the quantitative data. The results obtained from Mann Whitney U Test and Wilcoxon Sign Test suggests that there is no significant difference between the pre-test and post-test scores of the experimental group and the control group. Descriptive data also demonstrated that the use of the flipped learning method in the curriculum had significantly increased the skill levels and knowledge of the experimental group pre-service teachers. The study recommends that care should be taken when structuring courses in pre-service teachers’ education when applying flipped learning.
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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 | 0.003 | 0.017 |
| 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 | 0.000 | 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