摘要
基于可视化分析技术的智能系统开发主要集中在模型库系统、数据库系统以及人机协同分析工作的应用场景。而人机交互协同分析应用场景的探索尚待进一步深化。本研究审视可视化分析工具面向学生用户的教学应用和影响机制,提出可视化分析工具作为知识集成工具的设计和检验对高校学生优化知识集成能力的效果。通过使用对比组前后测试的准实验法,运用方差重复测量进行数据分析,教学应用实证结果表明,融合可视化分析工具的教学对学生了解复杂问题的契合性,结构完整性和视觉表达具有促进作用,并能协助学生组织知识能力,丰富知识图谱。通过人机协同分析工作,可视化分析工具帮助用户在半结构数据中进行知识建构,借以赋予教育界新的增值功能。
The development of intelligent system based on visual analysis technology mainly focuses on the application scenarios of model library system,database system,and human-machine collaborative analysis work.However,the exploration of application scenarios of human-computer interaction collaborative analysis needs to be further deepened.This study examines the teaching application and impact mechanism of visual analysis tools for student users,proposes the design of visual analysis tools as knowledge integration tools,and tests its effectiveness on college students’ability to optimize knowledge integration.By using the quasi-experimental method with pre-and post-testing in the comparison group,and using repeated measures of variance for data analysis,this study shows that the teaching integrating visual analysis tools were not only beneficial to promoting students’understanding of the fit,structural integrity and visual expression of complex problems,but also helped students organize their knowledge ability and enrich the knowledge map.Through human-machine collaborative analysis work,visual analysis tools help users to construct knowledge in semi-structured data,thereby giving new value-added functions to the education sector.
出处
《中国人民大学教育学刊》
CSSCI
2022年第3期166-180,共15页
Renmin University of China Education Journal
基金
广东省哲学社会科学规划项目“基于系统科学理论的粤港澳大湾区碳减排途径与政策协同研究”(GD17CYJ08)。
关键词
教育信息资源
可视化
智能决策
学生用户
知识集成
Educational Information Resources
Visualization
Intelligent Decision-making
Student Users
Knowledge Integration