The Impacts of a Face-to-Face Training in Combination with LINE Application and Professional Learning Communities on English Teacher Development
Bibliographic record
Abstract
This study examines the impact of a teacher-training program on the development of teachers’ knowledge, skills, and attitudes towards English reading teaching. The training program was implemented in combination with the use of LINE (a message application) and the teachers’ participation in school-based professional learning communities. The framework supports the training of English teachers to teach students in accordance with the national core curriculum and its emphasis on reading skills. The participants of this study were 50 English teachers working in the central part of Thailand. Four research instruments were used to collect data: a 12-item pre-test and post-test on teaching English reading skills covering the content of the training, an open-ended form for recording emerging points from the implementation of the lesson plan and preparation of the video clip, a survey including 5-point Likert-scale options and an open-ended response field to assess teachers’ satisfaction with the training program, and an observation form of the teachers’ level of participation in the training program. The findings of this study revealed that participants had developed in three major areas: knowledge, skills, and attitude, and they indicated satisfaction with the training program in all areas. The participants’ post test scores was higher than the pre-test scores. With a statistical significance improvement (p=0.05). Participants demonstrated their skills in designing more creative lesson plans with suitable educational objectives. Finally, the participants reflected a positive attitude towards their participation in the PLC. The significance of this study is related to the theoretical and pedagogical implications of the knowledge, skills, and attitudes of teachers teaching English reading skills in an EFL context.
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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 | 0.001 |
| 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 | 0.001 |
| 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".