The Effectiveness of Integrating CEFR-Aligned English Instructional Program with Gamification
Bibliographic record
Abstract
The proficiency of English language in Thailand is considered as a crucial factor prioritized across various sectors to enhance the population’s capacities. All educational institutions, from kindergarten to tertiary levels, emphasize the improvement of English competence through diverse pedagogical approaches and the application of the Common European Framework of Reference for Languages (CEFR) for assessment. Therefore, this study examines the effectiveness of integrating CEFR-aligned English instructional program with gamification in enhancing English proficiency. A pretest-posttest experimental design was conducted with 33 demonstration school students who participated in the CEFR-aligned English instructional program integrated with gamification. In this study, the instructional program targeted CEFR A2–B1 levels, and integrated with gamification elements such as Kahoot, Padlet and Quizlet incorporating leaderboards, rewards and collaborative quizzes to enhance proficiency and engagement. The study focused on three skills such as listening, reading, and grammar skills, aligning with the achievement tests and CEFR standardized test. Statistical analyses, including t-tests and Spearman’s correlation, were employed to evaluate the program’s impact. The findings revealed a significant improvement in posttest scores (M = 34.33, SD = 9.983) compared to pretest scores (M = 28.36, SD = 8.961), with a highly significant effect (p < .001). Correlation analysis further demonstrated an intrinsic correlation between pretest and posttest scores and CEFR level progression (p < .001). Moreover, students’ perceptions of the integrated instructional program were overwhelmingly positive, indicating that gamification effectively enhanced language acquisition, motivation and engagement. These findings highlight the effectiveness of integrating CEFR-aligned English instructions with gamification in fostering English proficiency and advancing students’ progression to higher CEFR proficiency levels.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".