多模态技术突破传统单一模态数据的局限,实现对学习投入精准、科学全面的测评.以Web of Science数据库收录的204篇文章为样本,运用CiteSpace对多模态学习投入测评研究进行了可视化计量分析,较为全面地展现了主要研究国家、期刊、高被引论文、关键词聚类特征等.未来,多模态学习投入测评可以进一步拓宽应用场景,深化研究主题;重视优化算法,提高数据分析精准度;介入生理数据,加强多模态数据协同分析.
Research status and insights on multimodal learning engagement measurement—based on CiteSpace visualization analysis
Multimodal technology breaks through the limitations of traditional single-modal data to realize accurate,scientific and comprehensive assessment of learning engagement.This paper takes 204 articles included in Web of Science database as samples,and uses CiteSpace to visualize and analyze the multimodal learning engagement assessment research,which comprehen-sively shows the main research countries,journals,highly cited papers,keyword clustering features,etc.In the future,we can fur-ther broaden the application scenarios,deepen the research topics,and emphasize the optimization of multimodal learning input as-sessment.In the future,multimodal learning engagement measurement can further broaden the application scenarios and deepen the research themes;pay attention to optimizing algorithms to improve the accuracy of data analysis;intervene in physiological data and strengthen the collaborative analysis of multimodal data.
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万方数据
