Improved Teaching Model of Ideological and Political Courses in Chinese Colleges and Universities
Bibliographic record
Abstract
The promotion of ideological and political theory courses should respect and understand students’ different visions and appeals, uniting the successful learning and wonderful life, and making the Chinese Dream education deeply rooted in undergraduates’ mind. Teaching model is one of the important ways to realize the goal of cultivating high-quality talents. The improved teaching model research focuses on exploring the course of Morality and Law by designing targets, paths, content, methods and evaluation ways, to enhance the efficiency and effect. The research group made a questionnaire survey in Beijing among students in 6 colleges and universities and staff in 67 enterprises covering the fields of state-owned, private, sino-foreign joint ventures or foreign-funded companies. The group also made interviews with counselors and deans. By careful analysis, the team summarized an "1133" teaching model demonstrating new definition of the target, methods, and evaluation. The results should be connected with teachers’ appointment, promotion and rewards to improve the main channel of ideological and political education.
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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 | 0.000 |
| 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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".