An Investigation of 21st Century Primary Schools’ Functions According to Primary School Teachers’ Views
Bibliographic record
Abstract
The aim of this research is to determine the functions that future primary schools will adopt based on the opinions of primary school teachers. Accordingly, the functions of instruction, socialization, and qualification that schools fulfill were assessed in accordance with the literature and teachers’ opinions. Designed in a descriptive survey model, this study employed a parallel mixed design utilizing both qualitative and quantitative data collection instruments. Two questionnaire forms—one for demographic information and one for teachers’ opinions—were used for the quantitative data and semi-structured focus group interviews were conducted for the qualitative data set. As for research findings, teachers think that schools pay more attention to the function of socialization than instruction and qualification and that this function should not be only under their responsibility, rather be completed through cooperation with families. Furthermore, findings also point out that children should be equipped with meaningful daily life information, they should be encouraged to make career plans that will make them happy based on a “self-get to know” process, and they should be prepared for the next educational level.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".