Effectiveness of Using Flipped Classroom Strategy in Academic Achievement and Self-Efficacy among Education Students of Princess Nourah bint Abdulrahman University
Bibliographic record
Abstract
The present study is an attempt to measure the effectiveness of using flipped classroom strategy in academic achievement and self-efficacy among female students of College of Education, Princess Nourah bint Abdulrahman University (PNU), Saudi Arabia. The study adopted the experimental method based on the two experimental and control groups, where the experimental group was taught through flipped classroom strategy, while the control group taught in the traditional way. Two tools were applied in this study: (Achievement Test and Self-Efficacy Scale). The sample consisted of two groups: one group is experimental and the other is control, both studying the course of (Classroom Management) in the first semester for the academic year 2016/2017. The results showed that the experimental group outperformed the control group in the post achievement test, as well as having a positive correlation between the students’ post achievement test and their attitudes towards self-efficacy scale; indicating that the more scores the students get in achievement test, the more self-efficacy they have. In the light of the results, some recommendations have been made.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".