Teaching Mode Exploration Basing on the Text of New Horizon College English Text Book for Reading and Writing
Bibliographic record
Abstract
The New Horizon College English Text Book for Reading and Writing embodies the application-oriented designing concept that combines listening, speaking, reading and writing. It puts students’ comprehensive application ability at the forefront. The core is to develop students’ ability to comprehensively applying language. Teachers must use this as the basis for selecting teaching mode in the process of using teaching materials. This paper takes New Horizon College English Text Book for Reading and Writing as an example, combining with practical experience, to discuss how to teach the text, and to propose the teaching mode, which contains vocabulary, discourse and linguistic points, and cognition strategy. For vocabulary teaching, the ability, which truly enables learners to understand and use words accurately, needs to emphasize learning vocabulary in communication through systematic principle, communication principle, cultural principle, cognitive principle, and emotional principle. Discourse teaching is the main body of the text teaching, main mean and approach to develop students’ ability of rapid reading and understanding. It requires teaching the text as an organic integrity, and first, it must be understood and explained. For linguistic point teaching, students are more opposed to simply making a list of language usages and then exemplifying them. In fact, students are more in favor of “connecting, discovering rules, understanding and memorizing, exercising key points, and using reverse thinking to standardize the language.” Overall, text teaching design is the main body of in-class teaching. And in-class activities should focus on this subject, as well. The in-class teaching activities should be a mind-innovation process including learning, thinking, deliberating, inquiring, reasoning and judging. Therefore, teachers should focus on these aspects, continuously deepening the text book. In addition, the teachers’ thought will be explored during the process.
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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 | 0.000 | 0.002 |
| 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 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".