Water: Turkish Prospective Biology Teachers' Conceptual Structures and Semantic Attitudes towards Water
Bibliographic record
Abstract
This study was prepared to investigate prospective biology teachers' cognitive structures related to "water". As the research design of the study, the case study was applied. The data were collected from 44 prospective biology teachers. The free word-association test, the drawing-writing technique and the semantic differential attitude scale were used as data collection instruments. The data were subject to content analysis and divided into categories through coding. In the analysis, the categories were formed and determined through the results of word-association test and drawing-writing test which were completed by the prospective biology teachers. With the help of these categories, the cognitive structures of prospective biology teachers were explained. These categories were determined as “the place and importance of water in life, the definition and chemical properties of water and water and metabolism”. It was determined that prospective biology teachers' semantic attitudes towards water were at a positive level in terms of mean scores of all adjectives considered; However based on each and every adjective, they mostly perceive water as compulsory, valuable and necessary. Moreover, the data collected through three data collection instruments indicated that prospective biology teachers had misconceptions about water considering the categories determined.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".