Design of Multi-level Teaching System Based on Association Rule Mining

Hong-yan He, Hui-ping, Zhang, Hong-fang Luo


In order to improve the overall performance for the multi-level teaching system, a system with Multi-strata teaching is designed. It divides the whole class into smaller parts based on their knowledge level and learning ability and teach students in accordance with their aptitude. The system used the model of C/S, and applies ASP in the interactive user interface. The data mining algorithm is also presented in the study. The system was tested with practical data. The results show that with the teaching system teachers can separate students into different parts and get a very good idea about how much students can learn.


association rule mining; multi-level teaching system; multi-strata teaching

Full Text:


Copyright (c) 2017 Hong-yan He, Hui-ping, Zhang, Hong-fang Luo

International Journal of Emerging Technologies in Learning. ISSN: 1863-0383
Creative Commons License SPARC Europe Seal
Web of Science ESCI logo Engineering Information logo INSPEC logo DBLP logo ELSEVIER Scopus logo EDiTLib logo EBSCO logo Ulrich's logo Google Scholar logo Microsoft® Academic SearchDOAJ logo