Interactive Tablets: Catalyzing Engaged Science Learning in English Instruction
Bibliographic record
Abstract
Schools in Thailand are increasingly using tablet computers for active learning. As interactive technology is increasingly used in the classroom, teachers are becoming more concerned about it. This qualitative study explores using a tablet computer as an interactive tool for active learning in teaching science in English. The research study involved three classes with ninety-three Grade 8 students from a demonstration school in Southern Thailand. The study was carried out for three weeks in all three classes. The classroom implementation was recorded and analyzed. Ninety-five percent of the students used tablet computers for class participation, while five percent used phones. The results showed that students used their tablet computers to search for different body parts in English, words that described the body parts and the meaning of the words. They learned independently and at their own pace to complete the classroom tasks. The results suggested that tablet computers are an excellent interactive tool to support active learning in teaching science in English in Grade 8 classrooms.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.000 |
| 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; 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".