Normal College, Hunan University of Arts and Science, Changde 415000, Hunan, China
Data mining technology can analyze a large amount of data accumulated by the teaching system, and obtain useful rules and patterns from it, which can effectively improve the intelligence and practicability of the teaching system, and stimulate students' interest in learning to the greatest extent. Through the in-depth integration of information technology and classroom education, the cultivation of intelligent talents is the focus of educational innovation. Therefore, this paper designs a smart classroom teaching system for rural primary and secondary education with sports data mining technology, aiming to improve the teaching level in rural areas. The system uses the data mining method to evaluate students' performance, and can mine the correlation of students' learning behavior through association rule algorithm. Through the evaluation experiments of rural primary and secondary school students on the use of the system and the comparison of mathematics scores before and after the system is used, it is found that the students are satisfied with the smart classroom teaching system designed in this paper, and the students' academic performance has improved significantly after using the system to teach.
Data Mining Technology, Rural Primary And Secondary Schools, Smart Classroom, Teaching System
Wei Na. Smart Classroom Teaching System in Rural Primary and Secondary Schools Based on Data Mining Technology. International Journal of Educational Curriculum Management and Research (2022), Vol. 3, Issue 2: 24-30. https://doi.org/10.38007/IJECMR.2022.030204.
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