Geography Literacy Profile of Pre-Service Teachers: The Case of Turkey
Bibliographic record
Abstract
The study aims to determine the “Geography Literacy” levels of senior year pre-service teachers. To do so, the correlations between geo-literacy on the one hand, and the program the student is enrolled in, the type of settlement the student lived in during secondary education, the type of high school the student graduated from, the student’s travel experience so far, and attitudes towards geography on the other, were assessed. The study was carried out with 4th year pre-service teachers (n=427) enrolled in six programs in the faculty of education, during the fall semester of academic year 2018-2019. The “Geography Literacy Test” developed by Gençtürk (2009) was used as the data collection tool. The data gathered were analyzed through descriptive, independent samples t-test, one-way ANOVA, chi-square, and Pearson correlation techniques. The study revealed that the geo-literacy levels of pre-service teachers were inadequate. Moreover, the geography literacy levels were found to exhibit significant variance with reference to gender, attitudes, the type of high school, the program the student is enrolled in, and the type of settlement the student lived in during secondary education. The findings were then used as the basis of specific proposals for increasing geo-literacy levels and paving the way for future studies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".