Primary Teachers’ Perceptions of CLIL Implementation in Spain
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
CLIL (Content and Language Integrated Learning) has been one of the major innovations that has been implemented in Spain in the last decades and many questions have arisen in relation to its effectiveness. The aim of this article is to report primary teachers’ perceptions of the most relevant aspects of CLIL teaching of Science and Social Science in Primary Education in the Region of Murcia. Their perceptions of this integrated approach are crucial to meet their needs, coordinate their efforts and develop good practice. Results from this research emphasize an extensive application of CLIL methodological guidelines and the use of a wide range of tools when evaluating learners’ competences. Additionally, they have expressed their satisfaction with language assistants when motivating pupils and fostering their oral skills and intercultural awareness. However, CLIL teachers believe Public Administration should provide more resources, further training and enhanced coordination to improve the quality of education under this paradigm.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 it