摘要
可视化学习分析是可视化分析学和学习分析学交叉的新兴研究领域。它通过信息可视化技术促进人机在复杂问题决策中交互,强调计算机的自动化分析和可视化优势对人类推理的支持,由人机共同完成决策,因而在应对教育大数据和学习现象复杂性的挑战中日益受到关注。可视化学习分析和学习分析学一样强调相关学习理论对分析流程的指导,而可视化技术的价值不仅在于对学习分析结果的直观呈现,还为数据开放性探索和模型验证性分析提供了支持。研究显示,学习现象具备典型的自组织型复杂系统的特性。可视化建模是复杂系统科学的主流研究方法,复杂系统理论为可视化学习分析提供了强有力的理论基础。本文借鉴可视化分析学研究提出可视化学习分析的流程模型,并构建了基于复杂系统理论的可视化学习分析理论框架,指导可视化学习分析研究和相关工具的设计、开发与应用。本研究最后以可视化学习分析在话语分析方面的典型应用为例,展现可视化学习分析工具的特征、功能和分析流程,以期促进该领域的探索与发展。
Visual learning analytics(VLA)is an emergent interdisciplinary research area combining visual analytics and learning analytics.It aims to promote human-machine interaction through interactive graphical interfaces.It affords an opportunity to make full use of computers’automated analysis and visualization to support human reasoning and decision-making processes.Thus,it has gained increasing attention in addressing challenges of educational big data and complex learning phenomena and become a new development trend of learning analytics.As with learning analytics,VLA is theory-driven.Yet the value of visualization techniques is not only the intuitive representation of analysis results,but also the support for explorative and confirmative data analysis.Existing studies have suggested human learning as self-organized complex systems.Visual modeling is a major method in complex systems science.Complex systems theories provide a strong theoretical foundation to take VLA as a new research methodology.In this paper,we propose a theoretical framework for VLA research based on complex systems theories and suggest a representative analysis process of VLA approaches so as to guide the design,development and application of VLA tools.In the end,we introduce four representative discourse analysis tools to demonstrate the characteristics,functions,and analysis procedures of VLA tools in order to stimulate further exploration and development of this field.
作者
胡立如
陈高伟
HU Liru;CHEN Gaowei(Faculty of Education,The University of Hong Kong,999077,China)
出处
《开放教育研究》
CSSCI
北大核心
2020年第2期63-74,共12页
Open Education Research
关键词
可视化学习分析
学习分析
可视化分析
可视化
话语分析
复杂系统
visual learning analytics
learning analytics
visual analytics
visualization
discourse analysis
complex systems
作者简介
通讯作者:胡立如,博士候选人,香港大学教育学院,研究方向:话语分析、学生协作性问题解决、可视化学习分析(liruhu.hku@gmail.com);陈高伟,助理教授,博士生导师,香港大学教育学院,研究方向:话语分析、教师专业发展、可视化学习分析、计算机支持的协作性学习(gwchen@hku.hk)。
