Study on the Effectiveness of Infusing Ideological Education into Extracurricular Activities in Foreign Language Teaching
Bibliographic record
Abstract
This article aims to examine the effectiveness of infusing ideological education into extracurricular activities in foreign language teaching. The activity "International Communication Short Video Competition: Telling Stories about Chinese People" was taken as an illustrative example to interpret students' language performance from the perspective of discourse analysis. High words frequency processed by AntConc3.4.2 reflected the ideological elements in the video scripts, including patriotism, dedication, hard work, unity and friendship. A questionnaire was also administered to 539 students to find out their attitude to these activities. The results showed that students benefited a lot from participating in a wealth of extracurricular activities in the aspects of knowledge acquisition, philosophy of life, and professional skills. Since various extracurricular activities play an important role in shaping core values and morality standard, the article provides teachers with insight about how to integrate ideological education into practical tasks in curriculum-based ideological education.
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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 | 0.004 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".