Communication Competency in Foreign Languages and Digital Competency in Life Sciences Course Book
Bibliographic record
Abstract
This study aims to analyze to what extent the competency of ‘Communication in Foreign Languages’ and ‘Digital Competency’ which are addressed in Turkish Qualifications Framework and instruction programs in Turkey are covered by life sciences course books. The research was performed through the case study method which was within the context of qualitative research models. In the study, life sciences course books which were selected through convenience sampling, approved by the Board of Instruction and Education of the Ministry of National Education of Turkey and used in the first, second and third years of primary schools in the school year of 2018-2019 were examined. As per results obtained from research findings, it was found that the competency of ‘Communication in Foreign Languages’ and ‘Digital Competency’ were insufficiently referred to in course books. On the basis of research findings, recommendations intended for designers, teachers and researchers of instruction programs of life sciences course were presented.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".