Research on Multidimensional Teaching Practice of EFL Students’ English Vocabulary From the Perspective of Educational Information Technology
Bibliographic record
Abstract
In the traditional teaching process, teachers guide students to learn vocabulary in English classroom. With the development of modern science and technology, the informatization of English learning has become an irresistible trend. By integrating more digital teaching resources into traditional education and teaching and forming a new teaching scheme with the deep integration of English classroom and information technology, students can feel the interest, diversity and practicability of English vocabulary from multiple angles. Starting with vocabulary teaching, this paper introduces some problems in current English teaching and the direction to deal with them. This paper expounds the importance of vocabulary learning to English learning and teaching from three aspects: comprehensive language ability, academic achievement and learning approaches. This paper discusses the practical value of the combination of educational technology and classroom education, and demonstrates that the integration of educational technology is the direction of English classroom development from three aspects: classroom effect, learning materials and student supervision. Making good use of information technology is conducive to English teaching.
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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 | 0.019 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.013 | 0.020 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".