The Effects of Learning-Style Based Activities on Students’ Reading Comprehension Skills and Self-Efficacy Perceptions in English Foreign Language Classes
Bibliographic record
Abstract
This study investigated the effects of learning-style based activities on students’ reading comprehension skills and self-efficacy perceptions in English foreign language classes. A quasi-experimental, matching-only pretest-posttest control group design was utilized. The study was conducted with freshmen university students majoring in Elementary Mathematics Education at Necmettin Erbakan University in the fall semester of academic year 2012-2013. English was one of their compulsory courses and their self-reported language level was A1/A2 in terms of the self-assessment grid included in the Language Passport which is one of the three components of the European Language Portfolio. A total of 39 students in the experimental group and 39 in the control group participated in the study. The learning-style based activities were implemented in the experimental group, while the control group continued with routine classroom instruction without any attention to their learning styles. Both groups received three one-hour sessions weekly, for a total of eight weeks. Both the Reading Comprehension post-test scores and the Self-Efficacy Scale for English post-test scores were significantly different in favor of the experimental group. Also, a significant moderate positive correlation was found between English reading comprehension achievement and English self-efficacy. It can be concluded that learning-style based activities enhanced reading comprehension skills and English self-efficacy perceptions during this study.
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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 | 0.003 |
| 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 | 0.001 |
| 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".