The Curriculum Design of SPOC-based Online and Offline Blended Teaching Model of English Linguistics in Flipped Classroom
Bibliographic record
Abstract
Based on the problems in the current teaching of English Linguistics, the paper expounds on an online and offline blended teaching model of English Linguistics in a flipped classroom which consists of four components: before class, during class, after class and assessment. Among them, the offline class is divided into three stages: inspection, discussion and deepening. Then the author summarizes the major problems existing in the practice of SPOC-based flipped classroom: low proportion of students’ participation in interaction, poor effect of flipped classroom caused by teachers’ failure to deal with the relationship between the offline class and online teaching video, and insufficient technical support to the platform. Finally the solutions and suggestions are discussed respectively for the sake of the enhancement of teaching quality and effects. The practice and exploration of this blended teaching model provides a way to integrate modern information technology in the teaching of theoretical courses and provides constructive suggestions for the teaching reform of English major courses in universities.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".