The Use of Blogs on EFL Students’ Writing and Engagement in a Saudi Private School
Bibliographic record
Abstract
The blog is one of the recent technologies in use for teaching, learning, and practicing writing (Aljumah, 2012). Blogs are an educational tool for continuous learning outside classrooms (Vurdien, 2013). The current study aims to add to the research on blogs in EFL writing by observing the writing development of EFL learners in a Saudi context. The study also investigates learners’ perceptions of utilizing blogs as tools to increase classroom engagement. The data are collected from 36 female high school students by analysing the students’ writing samples before and after the intervention, conducting a questionnaire at the end of the intervention, and interviewing select participants. Although the findings did not show any significant differences between the two writing samples, the responses from the surveys indicated positive perceptions of blogs in writing and of blogs as a tool for increasing engagement. The active interaction in peer feedback and class discussion revealed that the blog is a useful tool for learning writing.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".