Effort as a Mediator of the Relationship between English Learning Self-Efficacy and Reading Comprehension Performance in the EFL Field: A Longitudinal Study
Bibliographic record
Abstract
English language skills are considered of great value in the labor market and in the field of research. As such, learning English as a Foreign Language (EFL) becomes of great importance, especially for foreign students and employees working in international settings. The goal of the present study was to explore students’ self-efficacy in language learning (LSE), in contrast with general self-efficacy (GSE) and effort (EF) as predictors of students’ reading comprehension performance in English. Moreover, we hypothesized that effort mediates the relationship between LSE and reading comprehension performance. We explored the EFL learners who enrolled in academic English courses during a period of three months, one academic semester. Using a longitudinal design, at Time 1, the sample of 265 participants completed three questionnaires: GSE, LSE and EF scales. At Time 2, reading comprehension test was given to the participants who had completed the questionnaires previously. Results indicated that LSE, in contrast with GSE, is positively correlated with reading comprehension performance. Furthermore, the data showed that LSE is positively correlated with effort, and that effort is positively correlated with reading comprehension performance. Findings revealed that effort mediates the relationship between LSE and reading comprehension performance. Thus, our study contributes to the development of more effective teaching methods and provides EFL teachers the necessary tools to predict and enhance students’ achievements in the field. Implications and limitations for future research are discussed.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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".