Designing Classroom Activities for Senior English Reading: A Case Study from a High School in China
Bibliographic record
Abstract
Reading class is one of the basic courses of English teaching, and activity design is an important tool for improving students' reading competence. The New English Curriculum highlights the subjectivity and initiative of students in English reading classes, so the design of activities in senior English reading class should be student-centered and achieve full advantage of these activities to improve students' reading ability. This study aims to investigate the status quo of activity design in senior English reading class, to explore the problems existing in the teachers' activity design, and to provide suggestions for effective reading activity design. This study, conducted at Jiangsu Province Zhenjiang No.1 High School, China, targeted ten teachers and fifty students from grade ten through questionnaires and interviews, and thirty classes were observed. Based on analysis of the qualitative and quantitative data, to effectively design reading activities and to promote the efficiency of English reading teaching, this research suggests a layered design of activities aimed at enhancing classroom participation and improving students' overall reading competence in English. This research offers insights into designing activities for senior English reading classes, emphasizing that each stage of reading requires activities tailored to its specific objectives. However, the limited number of participants in the study may impact the generalizability of the findings. In the future study, the targeted participants could be enlarged to increase the variety of data sources.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".