Implementation of Google-Based CLIL Course Web Syllabus Aimed to Develop Oral Mediation Skills
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
The changing social demand as well as modern trends of education modernization in Russia, are aimed at organizing foreign language teaching in such a way as to train specialists who will possess not only all components of foreign language communication competence, but also who are able to carry out professional communication and act as mediators in difficult situations of communication in a foreign language. Content and language integrated learning (CLIL) due to its two-focused nature, provides an opportunity to cope with this task within one discipline. Web-based CLIL syllabus expands these possibilities for designing an educational online space in order to develop communicative and subject or professional competencies simultaneously. The purpose of this article is to describe the structure of web-based syllabus of the course “Political and Socio-Economic Systems of Canada and the United States in a Comparative Aspect” and to determine the didactic potential of some Google tools for designing web assignments and a web-based syllabus for the CLIL course. The article provides a comparative analysis of two educational standards of higher education in Russia, as well as an educational document of the Council of Europe to define some key cognitive skills that can be developed as part of CLIL course. The article also describes the structure of web-based CLIL syllabus created by the author in connection to the research.
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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 | 0.000 | 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 | 0.000 | 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) | 0.003 | 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