Optimizing STEAM-Based Differentiated Instruction to Enhance the Effectiveness of Surah At-Tin Memorization among Fourth-Grade Students at Elementary School
Why this work is in the frame
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Bibliographic record
Abstract
This study investigated the effectiveness of a differentiated instructional model grounded in STEAM principles, augmented by an interactive PILAR media, on the memorization of Surah At-Tin among fourth-grade elementary students. A true experimental pretest–posttest control-group design was employed, involving an experimental cohort (n=6) and a control cohort (n=9). Both groups completed a baseline assessment of Qur'anic memorization before undergoing four instructional sessions; the experimental group received STEAM-based differentiated activities and digital media support, whereas the control group experienced conventional lecture-based instruction. Posttest results revealed that the experimental group achieved a mean score of 91.67 (SD=8.54), compared to 69.44 (SD=15.32) in the control group. Normalized gain analysis indicated a high gain (g=0.90) for the experimental cohort and a moderate gain (g=0.64) for the control cohort. These findings demonstrated that aligning pedagogical strategies with individual learning preferences, integrating multimodal STEAM tasks, and leveraging interactive technology significantly enhanced both the quantity and accuracy of Qur'anic memorization. The study concluded that a differentiated STEAM-based approach, supported by PILAR media, constituted a superior method for optimizing primary-level Qur'anic memorization and recommended its broader application and longitudinal evaluation.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it