大数据视域下可视化技术支持高校学生自主学习研究  

Research on Visualization Technology Supporting Independent Learning of College Students under the Perspective of Big Data

作　　者：杨帆[1] 闫振宇 王悦[1] YANG Fan;YAN Zhenyu;WANG Yue

机构地区：[1]长春人文学院,吉林长春130117

出　　处：《科教文汇》2023年第22期2-5,共4页Journal of Science and Education

基　　金：吉林省高教学会项目“大数据视域下大学生在线自主学习可视化监控和反馈研究”(JGJX2022D645)阶段性研究成果;吉林省社会科学基金项目“可视化技术支持在线自主学习的效能研究”(2021C85)阶段性研究成果。

摘　　要：信息技术和大数据的发展加速了数字化学习的普及,加快了高校课程线上线下混合发展的步伐。可视化技术作为自主学习的新工具和新方法,让高校学生的自主学习活动可以变得更加生动,对学生自主学习意义深远。文章分析了大数据视域下高校学生自主学习现状和存在的主要问题,提出基于可视化技术的高校学生自主学习策略,以期为大数据视域下相关自主学习研究和实践提供参考和借鉴。The development of information technology and big data has accelerated the popularization of digital learning and the pace of online and offline blended development of courses in colleges and universities.As a new tool and method for independent learning,visualization technology can make the independent learning activities of college students more vivid and has far-reaching significance for students’independent learning.This article analyzes the current situation and main problems of independent learning of college students under the perspective of big data,and proposes independent learning strategies for college students based on visualization technology,in order to provide reference for related independent learning research and practice under the perspective of big data.

关 键 词：可视化技术 高校学生 自主学习 学习策略 

分 类 号：G434[文化科学—教育学]