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

Abstract

Abstract-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.

A Multi-level Remedial Teaching Design Based on Cognitive Diagnostic Assessment: Taking the Electromagnetic Induction as an Example

“…Multi-level teaching and learning are widely regarded as an important way of improving teaching efficiency. In recent years, many studies have designed and developed methods to stratify students’ learning outcomes, with many of these methods in previous literature being based on computer algorithms ( He et al, 2016 ; Zhang et al, 2016 ). For instance, Wu (2019) used CDA to classify fourth grade students based on their learning scores in order to provide personalized online remedial guidance, and results showed that the online personalized tutor program was superior to the traditional tutorial program.…”