Attitudes Towards Knowledge Management of School Administrators and Teachers Working in Turkish Schools
Bibliographic record
Abstract
The aim of this study is to investigate attitudes of school administrators and teachers working in Turkish schools towards knowledge management. In this research, an explanatory design incorporating quantitative and qualitative methods was used. The quantitative strand of the study was designed as a survey model, and the data was collected from 336 school administrators and teachers who work in the province of Sivas by using the Attitude Scale Towards Knowledge Management (Demir, 2005). The qualitative part of the study was carried out using a case study design, and the researchers used semi-structured interviews to collect data from 12 school administrators and teachers who work in the province of Sivas. To interpret the interview data, descriptive analysis, content analysis, and constant comparison techniques were used. The quantitative findings revealed that school administrators and teachers reported positive attitudes towards knowledge management with respect to self-development and negative attitudes towards communication and commitment. and negative attitudes towards communication and commitment. According to the qualitative findings obtained from questions asked to the participants with respect to communication, commitment, and self-development, participants stated that the knowledge management activities that took place at school were insufficient. Consequently, a knowledge management model suitable for Turkish school context is suggested.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".