智能教育下在线问题解决学习研究:内涵、模型与解释  

The Research for Online Problem-solving Learning in Intelligent Education:Connotation,Model and Interpretation

作　　者：多召军[1] 张嘉男 任永功[1] DUO Zhaojun;ZHANG Jianan;REN Yonggong(Liaoning Normal University,Dalian Liaoning,116081)

机构地区：[1]辽宁师范大学计算机与信息技术学院,辽宁大连116081

出　　处：《现代远距离教育》2022年第3期70-77,共8页Modern Distance Education

基　　金：辽宁省教育厅自然科学项目“多元数据驱动的智慧学习路径推荐研究”(编号:LJ2020016);辽宁省社会科学基金项目“常态化疫情防控下数据驱动大学生学业焦虑测量与诊断研究”(编号:L21CSH006)。

摘　　要：促进学习者知识建构与能力发展的问题解决学习是智能教育时代的重要教学模式。基于现代认知心理学和建构主义的相关研究,分析了问题解决学习的内涵,梳理了多类别问题之间的联系,提出多类别问题解决学习过程模型,旨在促进问题解决学习设计规范化;基于支持问题解决的可视化技术采集伴随性、半结构化的学习行为数据,构建了问题解决学习活动分析模型以及包括多类别学习对象与技术支架的个性化推荐策略与方法,形成数据驱动问题解决学习过程分析、解释与干预的框架。研究结论可为基于问题解决的学习资源、学习环境及过程评价设计提供借鉴。Problem solving learning which could promote students’knowledge construction and competence building is an important teaching model in intelligent education.Based on the relevant research of modern cognitive psychology and constructivism,this paper analyzes the connotation of problem-solving learning,combs the relationship between multi category problems,and puts forward a multi category problem-solving learning process model,in order to promote the standardization of problem-solving learning design.Then,the accompanying and semi-structured problem-solving learning behavior data are collected based on the visualization technology.The analysis model of problem-solving learning activities and the recommendation strategies and methods of personalized multi category learning objects and technical supports are constructed to form a framework for data-driven,which be used to analysis,interpret and intervene problem-solving learning process.It is expected to provide reference for the design of learning resources,learning environment and process evaluation based on problem-solving.

关 键 词：智能教育 数据驱动 在线学习 问题解决学习 

分 类 号：G434[文化科学—教育学]