The Loss and Return of Chinese Culture in English Teaching: Teaching Design of Chinese Tea Culture in English Class Based on ADDIE Model
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
Since the 21st century, China has put forward the “going out strategy of Chinese culture” which aims at realizing the awakening, reviving, integrating and spreading of Chinese culture. China emphasizes strengthening and improving the spreading of Chinese culture in order to enhance the soft power of national culture. China needs to cultivate intercultural communicative talents that can display Chinese culture to the world through an appropriate path with profound intercultural communication awareness and excellent intercultural communicative competence. Being representative of Chinese traditional culture, tea culture carries a long history of China. This paper takes the tea culture as an example for teaching design from the aspects of analysis, design, development, implementation, and evaluation based on the ADDIE model, aiming at optimizing the teaching design of Chinese culture into English teaching and cultivating students’ intercultural communicative ability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.015 |
| 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) | 0.000 | 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 it