Effects of EPIRIS Model-Based Instructional Innovation on Thai Primary Students’ English Tense Learning
Bibliographic record
Abstract
English tense acquisition remains a persistent challenge for Thai primary school students in EFL contexts, where traditional grammar-translation methods have proven inadequate in fostering durable form-meaning connections and active language practice. This study investigated the effects of EPIRIS model-based instructional innovation on primary students’ achievement, motivation, and perceptions related to learning English past tenses, while examining relationships between student motivation, engagement, interaction, and learning outcomes. An explanatory sequential mixed-methods design was employed with 86 participants comprising 66 primary students aged 9–12 and 20 English teachers from 10 schools in Samut Sakhon province, Thailand. The intervention consisted of a 12-hour EPIRIS-structured program delivered over two weeks, incorporating six sequential steps: elicitation, presentation, innovation use, retention practice, interaction, and summary and assessment. Data collection included pretest-posttest measures; validated questionnaires assessing motivation, engagement, and interaction; and semi-structured interviews with purposively selected participants. Results demonstrated significant improvements in student achievement with a mean gain of 6.11 points out of 20 possible points (p < .001). Participants reported high levels of motivation (M = 3.71), engagement (M = 3.64), and interaction (M = 4.60) with strong positive correlations among these constructs (r = .769 to .799). Qualitative analysis revealed three major themes: transformation from passive to active learning, enhanced collaborative learning and peer support, and reduced anxiety with increased confidence. The EPIRIS model demonstrated substantial effectiveness in improving both cognitive and affective outcomes in primary EFL grammar instruction, providing initial evidence for adopting systematic, interactive, pedagogical approaches in English language education.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".