ArticleComputational intelligence and neuroscience2022
Effect of Story Structure Instruction Based on Visual Analysis on Reading Comprehension Intervention for Dyslexic Students.
Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed, 5 citations in OpenAlex.
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Authors and funding
1 author at 1 institution in 1 country.
Funding
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Abstract
The application of artificial intelligence (AI) technology in the field of dyslexia is becoming increasingly abundant. However, the content of related literature shows that there is still a lack of systematic and comprehensive research in this field at home and abroad. By outlining the development of AI technology, the meaning, causes, and classification of learning disabilities, the most representative studies on the application of AI technology in dyslexia education, including four aspects of diagnosis, intervention, assessment, and services are analyzed. The study finds that AI technology can improve the conditions suffering from dyslexia and dysgraphia, and can serve the education of dyslexic children as a technical tool to overcome dyslexia. By summarizing the effect of story structure teaching based on visual analysis on reading comprehension intervention for students with dyslexia, it can provide useful references and references for related research.
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Registered trials
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