International Students’ Perceptions of Interactive Academic Justice and Their Relation to Academic Achievement
Bibliographic record
Abstract
International learners of Arabic as a second language have a multi-cultural background, which may affect their perceptions toward the way they are treated with their instructors. The current study tries to examine international students’ perceptions of interactive academic justice and their relationship to academic achievement. The researcher used the descriptive approach, using a questionnaire of students’ perceptions of interactive academic justice, which involved (175) male and female students at the Arabic Language Institute for Non-Native Speakers at Umm Al-Qura University. The results show that there is a high level of international students’ perceptions of interactive academic justice. However, there are no statistically significant differences in international students’ perceptions of interactive academic justice; in terms of the gender variable (male-female). International students’ perceptions of interactive academic justice do not differ according to the period of Arabic language learning. The results indicate the importance of paying attention to teachers of Arabic as a second language, and the necessity of selecting those teachers and providing them with the necessary training continuously. Future research was presented.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".