The Perceptions of Foreign Language Pre-Service Teachers Towards Multicultural Education: Case of the Faculty of Education, TIU-Erbil, Iraq
Bibliographic record
Abstract
This study was conducted to investigate the perceptions of pre-service teachers majoring in English at the department of English Language Teaching (ELT)—Tishk International University Education Faculty in Iraq at the level of knowledge and attitude. Studies related to the concept of multiculturalism are significant as being discussed recently in our globalized world and Mesopotamia in Iraq. The present study was planned in 2018–2019 academic year by using case study design within the framework of qualitative research method. The study was carried out with 90 final year students (48 females and 42 males). The subject participated in the study on a voluntary basis. The data of the study were obtained by using semi-structured interview technique. The data obtained from the study was collected under certain codes and themes by content analysis. As a result of the analysis of the data, it was determined that pre-service teachers had both right and wrong learning about the concepts of multiculturalism and multicultural education, and their attitude levels were both positive and negative. In this regard, it is thought that it may be beneficial for prospective teachers to receive a training in the vocational education process related to multiculturalism and multicultural education. Conducting the studies to be planned for multicultural education applications by revealing different variables will enable the subject to be evaluated from different perspectives and will be beneficial for the enrichment of the literature on the subject.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".