Teachers’ Views Regarding the Implementation of First Grade Mathematics Curriculum in Villages : A Case Study – Şanlıurfa
Bibliographic record
Abstract
In this qualitative study, semi-structured interview questions were asked to twelve 1st grade classroom teachers working in villages. The aim of the study is to specify 1st grade classroom teachers’ needs, views and suggestions regarding the implementation of the 1st grade Mathematics curriculum. Twelve classroom teachers, ten of whom are first grade teachers and two of whom are multi-grade class teachers (one of them covers the content of 1st grade and 3th grade together, and the other covers 1st and 2nd grader course content) voluntarily participated in the study. Two themes emerged from the interviews: factors affecting the 1st grade curricula and factors affecting 1st grade Mathematics Curriculum. Under the first theme, 60-66 month-old children, the effect of pre-school education, and physical conditions of schools emerged as categories. The "Other" category under the first theme included the participants’ suggestions like making pre-school education obligatory and taking into account schools with one classroom by central curriculum development team. Under the second theme, the categories of attainment, content, materials, and effective instructional methods emerged. In Numbers and Operations topic, the problematic areas were found to be confusion between the capital letter "E" and number "3", counting down from 9 to 5, teaching of zero, and teaching of two digit numbers. It was highlighted that geometric models and 10’s series of accounting blocks are needed. Moreover, the concepts of whole, half, and quarter require models. Similarly, it was found that it is difficult to achieve some attainments. As the results revealed, as far as the attainments "Students will be able to notice..." are concerned, it is difficult to make students notice without explaining the topic. Playing games, drama and musical-rhythmic intelligence were listed as the effective methods in teaching mathematics subjects.
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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 | 0.003 | 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 | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".