Developing Grade 2 Spelling Ability Using the Integrated CIRC Collaborative Learning Technique and Multimedia
Bibliographic record
Abstract
The purpose of the study was to examine the effectiveness of multimedia integrated CIRC learning management plan on grade 2 students’ spelling ability. The research employed a one-group experimental design in which a learning management plan based on CIRC principles, with the integration of multimedia, was used as the main intervention. The participants included 30 grade 2 students selected through clustered random sampling in a suburban province of Thailand. The study utilized a learning management plan comprising eight sub-lesson plans, as well as a spelling test of 30 multiple-choice items. The results analyzed using mean scores, standard deviation, percentages, learning management effectiveness (E1/E2), and a paired samples t-test. The findings revealed significant improvement in students' spelling abilities, with the effectiveness of the learning management plan reaching 84.22/88.77, exceeding the predetermined criteria of 75/75. This study contributes to educational research by demonstrating that multimedia-integrated CIRC is an effective approach for enhancing spelling skills in young learners.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".