Outcome-Based Approach to Teaching Students Comprehensive English in China: From “Golden Course” to “Golden Lessons”
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
“Golden course”, which is against frivolous course, has become a hot topic in Chinese higher education as new requirements are imposed on classroom teaching efficiency. Under this background, this paper takes the course “Comprehensive English 3” as an example to discuss how to design “golden course” and“gold lessons”. To achieve this purpose, the author first constructs an outcome-based model of course design based on outcome-based education and briefly analyzes POA which is taken as a tool to implement beliefs of “golden lessons”. Guided by this model, development goals, students’ needs and course goals in the course are discussed. For the relationship, “golden course” is the basis of “golden lessons”, and a series of “golden lessons” is the realization of “golden course”. To realize “golden course”, the author designs one unit and discusses how to implement the beliefs by using one specific example. Either “golden course” or “golden lessons” is a new belief to all university teachers, the realization needs more research and this paper just provides implications for the teachers who would design “golden course” and implement its beliefs.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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