Perceptions of Students from the Department of Computer Education and Instructional Technologies Regarding the Concept of Curriculum
Bibliographic record
Abstract
In the study, the purpose was to determine the perceptions of students from the department of Computer Education and Instructional Technologies regarding the concept of curriculum. The participants of the study conducted with the phenomenology research design were 212 preservice teachers. The research data were collected via document analysis and interviews. For the analysis of the data, the inductive content analysis method was used. The results revealed that the preservice teachers perceived the concept of curriculum as a process with positive and negative features which emphasize change and development. The results also demonstrated that the participants perceived their levels of knowledge about curriculum as partly sufficient. In addition, it was found that undergraduate education has an important role in the development of these perceptions. Moreover, the results emphasized the need for making more planned and systematic regulations in relation to the functioning of curriculum studies in Turkey. Lastly, the results demonstrated that there is a need for regulations in the structure of the preservice teacher education curricula to give meaning to the concept of curriculum.
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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 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".