Impact of Interactive Multimedia on Digital Literacy Among Chinese Grade-3 Students
Bibliographic record
Abstract
This study investigates the impact of interactive multimedia on Chinese character recognition skills among third-grade students in Beijing, China. The research aims to study the impact of incorporating mnemonics into multimedia on the acquisition of Chinese character recognition skills in Grade 3 students and to compare the skill level between students who learn using CLT and DCT and students who learn using non-CLT and DCT. Employing an experimental research design, the study compares the effectiveness of interactive multimedia teaching methods with traditional classroom approaches. A Target group from two elementary schools participated in the survey, with 30 students learning through Cognitive Load Theory (CLT) and Dual Coding Theory (DCT) based multimedia methods and 30 through non-CLT and non-DCT methods. Data was collected through pre-post test and survey by questionnaire. The study used descriptive and inferential statistics, including t-tests, to analyze the data. Results indicate the interactive games made learning Chinese characters more fun, and they had the lowest level of very high engagement. Students who learn using Cognitive Load Theory (CLT) and Dual Coding Theory (DCT) based multimedia methods demonstrate significantly higher Chinese character recognition skill than students who learn using non-CLT and non-DCT methods. This research contributes to the growing body of literature on the efficacy of multimedia in language education. It provides practical insights for educators and policymakers in leveraging technology to enhance literacy among young learners.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 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".