Research Article
Innovative Application of Big Data Technology in Network Teaching Model of University Courses
@INPROCEEDINGS{10.1007/978-3-031-21161-4_44, author={Changdong Xu and Song Wang}, title={Innovative Application of Big Data Technology in Network Teaching Model of University Courses}, proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I}, proceedings_a={ELEOT}, year={2023}, month={3}, keywords={Big data College curriculum Network teaching Innovation of teaching model Data mining Clustering algorithm}, doi={10.1007/978-3-031-21161-4_44} }- Changdong Xu
Song Wang
Year: 2023
Innovative Application of Big Data Technology in Network Teaching Model of University Courses
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_44
Abstract
Facing the huge amount of learning resources, how to push the appropriate learning resources to the learners has become a major problem. Therefore, in this context, the application of big data technology has obvious advantages. Based on the above analysis, we will study the big data technology in the university curriculum network teaching model innovation application, to achieve the big data technology expansion network teaching model function goal. After analyzing the current situation of networked teaching model of university courses, the data mining technology is used to obtain user preferences. Through clustering algorithm to build a user image, using collaborative filtering algorithm personalized recommended teaching resources, model optimization is completed. Compared with the teaching models before and after optimization, the accuracy rate of the recommended resources is higher than 95%, the score is higher and the teaching effect is better.
