Using Readers Theater as a Facilitator in Elementary School English Training
Bibliographic record
Abstract
The purpose of the study aimed to investigate the effect of the Readers Theater (RT) training on elementary school students. In particular, changes in the students’ English reading comprehension before and after the RT show, comparison of the students’ responses to English learning, especially English reading, the students’ opinions on the RT activities, and the students’ responses to English books were examined and analyzed. Additionally, the students’ cooperative learning during the RT training was explored. The subjects of the study were 32 students in the sixth grade of a Taichung elementary school. Thirty-two students participated in RT training for almost forty-four days in order to perform in an RT show. Before the RT training, the subjects were requested to take the standardized English proficiency pretest and pre-study questionnaire. While participating in the RT training, the subjects needed to finish reading the selected English scripts. In the process of reading English scripts, the subjects were engaged in the reader’s theater activities, including reading English scripts aloud, performing on the stage, and group work. After the RT training, the subjects were asked to take the standardized English proficiency posttests and post-study questionnaires. Considering the study findings, it was suggested that the teachers were able to utilize the RT activities in instructing students’ English reading. With the stimulation of the RT activities, students could be motivated to be engaged in appreciating English books and obtained meaningful experiences from the characters in the plot. In addition, the teachers could foster students’ cooperative learning through group work and enhanced the students’ interest in learning English.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".