The Role of Gamification in Enhancing Students’ Motivation Toward Learning English in Jeddah Public Schools
Bibliographic record
Abstract
Entertaining strategies in education, such as the use of gamification, can turn learning English into an interesting and motivating experience. A number of studies in Saudi Arabia have explored gamification and the way it develops the different language abilities of students. However, limited research has been conducted concentration on the role of gamification in enhancing students’ motivation toward learning English in the context of public schools in Jeddah, Saudi Arabia. Hence, this quantitative study investigated from teachers’ and students’ points of view the role of gamification in enhancing students’ motivation. The participants in the study comprised a total of 409 teachers and students (155 teachers and 254 students). The study used two Google Form questionnaires and then analyzed the data using SPSS version 27. The findings of the study revealed that both teachers and students have positive feelings about the implementation of gamification considering it a beneficial instrument to increase students’ motivation in English language classrooms.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".