Participating in a Blog: Jordanian EFL Learners' Voices
Bibliographic record
Abstract
This study investigates the Jordanian EFL learners’ perceptions towards language learning through blog. It seeks to assess the usefulness of blogging in enhancing learners’ English language skills. The participants of the present study included 10 post graduate Jordanian EFL Learners who attended English Intensive Course. Data were collected through semi-structured interview questions regarding learners’ feedback on their perceptions to the integrated blog. The data obtained from the semi-structured interview was recorded, transcribed and described by the researchers and finally analyzed qualitatively. The findings of the study revealed that the learners perceived the blog as an interesting and helpful learning tool since interacting via blog helped them improve their English language skills as well as their peer feedback. Hence, the blog played an important role for the Jordanian EFL learners as it allowed them to exchange their experiences and thoughts with peers. The study concluded that integration of social networks, such as blogs into Jordanian EFL learners’ classes could enhance their English language learning processes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".