The Construction of New Type Loose Leaf Textbook in Vocational Education under the Concept of the Reform of Teachers, Teaching Materials and Teaching Methods
Bibliographic record
Abstract
According to the latest document National Vocational Education Reform Implementation Plan issued by the Ministry of Education, the national vocational educators began to explore the reform on three educational aspects, including teachers, teaching materials and teaching methods. Among them, the textbook is to solve the problems of what to teach. In the Twenty Principles on Vocational Education, it is clearly pointed out that the curriculum content is connected with the vocational standards, and the reasonable selection of curriculum content directly determines whether the knowledge and skills learned by students can meet the needs of employment, and textbooks are an important carrier of curriculum content. Therefore, whether to use docking teaching materials is an important content of assessing the achievements of teaching resources construction in schools. Twenty Principles on Vocational Education clearly points out that teaching materials should introduce new technologies, new processes and new norms, advocating the use of new loose leaf and work manual teaching materials and supporting informatization, introducing typical production cases, and implementing dynamic adjustment of three-year revision. The compilation of high-quality teaching materials provides direction guidance and requirements to vocational colleges. Higher vocational English teachers should base on the English syllabus, develop the loose leaf teaching material of College English, flexibly use the teaching material for personalized teaching, make the course teaching three-dimensional, implement task driven teaching, improve students' core quality, and lay the foundation for students' lifelong development. Based on this, this paper makes a brief analysis on the development of the loose leaf textbook of College English in higher vocational colleges.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".