Students’ Perception on Social Media in Writing Class at STKIP Muhammadiyah Rappang, Indonesia
Bibliographic record
Abstract
Almost all students use social media, but few lecturers use it in their teaching process. This study examines students’ perceptions of the use of social media in the process of teaching English in STKIP Rappang Muhammadiyah, South Sulawesi, Indonesia. This study was conducted using a mixed method, including quantitative and qualitative data. Data were collected using a questionnaire that collected background information of participants, a four-point Likert scale to gauge the students’ perceived use of social media in class, and open-ended questions to gather more data rich in the beliefs, attitudes, wishes and concerns of students regarding the use of social media in the writing classroom. Findings from this study indicate that the majority of students showed a positive attitude toward and a willingness to use social media in the writing classroom. However, factors such as large classes, lack of training on the use of the Internet, and the lack of facilities could be possible barriers to the use of social media in the classroom.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".