The Influence of E-Book Teaching on the Motivation and Effectiveness of Learning Law by Using Data Mining Analysis

• Published in: Journal of organizational and end user computing 2022-05, Vol.34 (3), p.1-17
• Main Authors: Zhao, Shouzheng, Chen, Jielei
• Format: Article
• Language: English
• Subjects: Algorithms; Big Data; Colleges & universities; Data analysis; Data mining; Data warehousing/data mining; Decision analysis; Decision trees; E-books; Education; Effectiveness; Electronic publication; Electronic publishing; Information accessibility; Information management; Law students; Learning; Methods; Students; Teaching; Teaching methods
• ISSN: 1546-2234; 1546-5012
• DOI: 10.4018/JOEUC.295092

This paper studies the motivation of learning law, compares the teaching effectiveness of two different teaching methods, e-book teaching and traditional teaching, and analyses the influence of e-book teaching on the effectiveness of law by using big data analysis. From the perspective of law student psychology, e-book teaching can attract students' attention, stimulate students' interest in learning, deepen knowledge impression while learning, expand knowledge, and ultimately improve the performance of practical assessment. With a small sample size, there may be some deficiencies in the research results' representativeness. To stimulate the learning motivation of law as well as some other theoretical disciplines in colleges and universities has particular referential significance and provides ideas for the reform of teaching mode at colleges and universities. This paper uses a decision tree algorithm in data mining for the analysis and finds out the influencing factors of law students' learning motivation and effectiveness in the learning process from students' perspective.