| 摘 要: 人工智能技术与大数据的飞速进步为当代教育行业带来新发展条件，而现阶段的教育大数据存在采集困难、利用率低等问题。为此，搭建了一种面向教育大数据的采集分析平台，该平台能够采集并整合学生数据与教学数据，并通过Hadoop、Spark等大数据分析框架全面挖掘学生的个性化学情信息。进一步地，提出了一种大数据驱动、线上线下指导相协调的精准教学实践模式。研究内容有助于大数据技术与高校教学质量的协同发展，促进精准教学实践模式在大数据背景下的发展。 |
| 关键词: 人工智能；教育大数据；精准教学 |
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中图分类号: TP311
文献标识码: A
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| 基金项目: 湖南师范大学2020年本科教改项目(202048JG28)；2019年湖南省学位与研究生教育教学改革项目(2019JGYB091). |
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| Design of Educational Big Data Collection and Analysis Platform for Precision Teaching |
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BI Xia'an1,2, XING Zhaoxu1,2, HU Xi1,2, ZHOU Wenyan1,2
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( 1.Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha 410081, China;
2.College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China)
bixiaan@hnu.edu.cn; xingzhaoxuhnnu@163.com; huxihnnu@163.com; zhouwenyanhnnu@163.com
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| Abstract: The rapid progress of artificial intelligence and big data has brought new development conditions for contemporary education industry. At present, however, educational big data has problems such as difficult collection and inadequate utilization. Accordingly, this paper proposes to build a collection and analysis platform for educational big data that can collect and integrate student data and teaching data to comprehensively mine students' personalized learning condition through Hadoop, spark and other big data analysis frameworks. Further, this paper proposes a precision teaching practice mode driven by big data and coordinated by online and offline guidance. The research content contributes to the collaborative development of big data technology and college teaching quality, and promotes the development of precision teaching practice models in big data era. |
| Keywords: artificial intelligence; educational big data; precision teaching |
