Research Article
Practice and Exploration of Completely Online Network Teaching with ID3 Algorithm
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@INPROCEEDINGS{10.1007/978-3-030-87903-7_71, author={Jingjing Gao}, title={Practice and Exploration of Completely Online Network Teaching with ID3 Algorithm}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1--3, 2021, Proceedings, Part II}, proceedings_a={BIGIOT-EDU PT2}, year={2021}, month={10}, keywords={Big data Data mining Association rules Clustering algorithm Personalized education}, doi={10.1007/978-3-030-87903-7_71} }- Jingjing Gao
Year: 2021
Practice and Exploration of Completely Online Network Teaching with ID3 Algorithm
BIGIOT-EDU PT2
Springer
DOI: 10.1007/978-3-030-87903-7_71
Abstract
Using big data information technology can extract rules from massive data. Through the information collation, collation and analysis of the massive data of online teaching, it can provide effective decision-making reference, as well as the education industry. Introducing information technology into network teaching platform can effectively improve students’ learning effect and teaching management level. Using information technology to explore the inherent law of online teaching can provide reference for the decision-making level of education and teaching, and can also provide guidance for the overall teaching task and teaching plan.
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