A Study on the Factors Affecting Reading and Reading Habits of Preschool Children
Bibliographic record
Abstract
In the developing world, reading habit, which is one of the first habits of traditional education, continues primarily in the family and then in kindergartens. In this research, factors such as family, environment, kindergarten and libraries are discussed in terms of acquiring reading habit in preschool period and evaluations are made about the effects of these factors on reading habit. In this study, the results of the research on the factors in the reading habit of Ishık Kindergarten students of Ronaki Hawler Education Company in Erbil, Iraq are included. Within the scope of the research, one-on-one interviews were conducted with 106 children in the six-year age group who were closest to starting primary school among the kindergarten students and 20 kindergarten teachers and a questionnaire was conducted. In this process, the kindergarten was observed. Then, the data obtained from the questionnaires were analyzed in SPSS program. In addition, structured interviews provided information about activities that aimed at acquiring reading habits of kindergarten teachers. In the conclusion part of the study, the data obtained were evaluated in terms of the factors that enable children to acquire reading habits. The results of the study showed that families have a guiding role in having the children acquire the reading habit. In addition, it was concluded that the group of friends, the environment, various books and genres, kindergarten education and libraries were other important elements in this preparation period.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".