Teachers’ Perceptions of the Use and Effectiveness of Children’s Literature in the EFL Classrooms of the Primary Schools of Kuwait
Bibliographic record
Abstract
The research examines the teachers’ perceptions of the use and effectiveness of children’s literature in their EFL classrooms in the primary public schools of the State of Kuwait. The research was conducted towards the beginning of the second semester of the academic year 2017/2018. It poses three main and interchangeable questions: 1) To what extent do teachers use children’s literature in their EFL classrooms? 2) Does the school administration help towards the integration of children’s literature in the EFL curriculum for the primary graders? 3) How effective is the teachers’ use of children’s literature in enhancing the students’ proficiency in the skills of the English language? The population of the study is the English teachers in the primary public schools in the six educational districts in Kuwait. The sample consisted of 66 English teachers selected from the 18 schools representing the six educational districts. The participants were asked to respond to a 15-statement survey and six open-ended questions. For the first question, results showed that most of the teachers frequently use children’s books in their EFL classrooms and are very much acquainted with the techniques of employing children’s books in their classes and with the various genres of children’s literature. For the second question, most of the participants agreed that the school administration is responsible for providing children’s books. However, the results also indicated that most school administrations do not consult teachers on the books to be purchased, and, as such, these books are sometimes not suitable for use in an EFL classroom. For the third question, results showed that teachers successfully use children’s books in enhancing the English skills of their EFL students, and, hence, they enrich the students’ learning experience.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".