An Online Teaching Design of Oral English against COVID-19: An “Ideological-and-Political-Theories-Education-in-All-Courses” Perspective
Bibliographic record
Abstract
Under the outbreak of the Coronavirus Disease 2019 (COVID-19) and the philosophy of “Ideological and Political Theories Education in all Courses (IPTEC)” by China’s Ministry of Education, college curriculum reform has become a pressing issue in both form and content. Oral English course is characterized with flexible organization and a wide selection of teaching materials, thus closely related to the shaping of college students’ values. An online teaching mode of oral English featuring “DingTalk + WeChat Group + FiF” is proposed after a mining of “ideological and political elements”, with the sophomore oral English course of School of Foreign Studies, Guangzhou University of Chinese Medicine as a case. The highlights of this mode are as follows. First, all links of the teaching design are permeated with ideological and political elements, which realizes the blending of explicit and implicit educations. Second, it supports teacher-to-student and student-to-student voice interactions in a multi-party manner at any time. Third, a complex is created where one online classroom is systematically nested in another among the various platforms. Fourth, group and single games enrich the organization of the classroom. Fifth, it provides private and convenient classroom and homework management.
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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 | 0.003 | 0.067 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".