Exploring Instructors’ Rationale and Perspectives in Using Blogs as a Tool for Teaching English as a Second Language
Bibliographic record
Abstract
Embedding web-based learning systems in education has drawn increasing popularity and growing interest among the contemporary language education community in recent time. In particular, blogs have become a profound phenomenon in the present landscape of online education. However, research addressing the instructor’s perspective about the engagement of blog technology in second language education is still lagging behind. The current study seeks to explore and survey the perspectives of six Malaysian academicians on the use of blogs in teaching English as second language to Malaysian students at higher education institutions. A qualitative approach was adopted to collect responses from the participants via a semi-structured interview. In addition, a checklist of features of the blog was used to investigate the blogging activities in the courses conducted by the participants. The collected data from the interview were analyzed qualitatively, whereas the blog checklist data were analyzed quantitatively. The obtained results indicated that the surveyed instructors had a positive reflection on using blogs in the teaching and learning of the English as second language.
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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 | 0.011 | 0.031 |
| 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 | 0.003 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".