2022
DOI: 10.4018/joeuc.295092
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The Influence of E-Book Teaching on the Motivation and Effectiveness of Learning Law by Using Data Mining Analysis

Abstract: 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 practi… Show more

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Cited by 19 publications
(2 citation statements)
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“…As can be seen from Figure 3 (a), before the implementation of the system, for AI products in the fields of personal lending (L1), credit card (L2) and intelligent medical care (L3), the product risk rate (TR) of L1 existing products is 0.65, The transaction risk ratio (SR) is about 0.8, and the return risk ratio (ST) is about 0.78. Compared with other products, the wind efficiency is higher, which may also be one of the reasons for the large number of such legal cases [23]. The risk rate of L2 products is about 0.5, the risk rate of R1 and R3 of L3 products is about 0.35, and the risk rate of R2 is about 0.5.…”
Section: Experimental Process and Resultsmentioning
confidence: 99%
“…As can be seen from Figure 3 (a), before the implementation of the system, for AI products in the fields of personal lending (L1), credit card (L2) and intelligent medical care (L3), the product risk rate (TR) of L1 existing products is 0.65, The transaction risk ratio (SR) is about 0.8, and the return risk ratio (ST) is about 0.78. Compared with other products, the wind efficiency is higher, which may also be one of the reasons for the large number of such legal cases [23]. The risk rate of L2 products is about 0.5, the risk rate of R1 and R3 of L3 products is about 0.35, and the risk rate of R2 is about 0.5.…”
Section: Experimental Process and Resultsmentioning
confidence: 99%
“…It leverages computer technology to extract implicit and high-value information from semi-structured or unstructured text that is of interest to users (Hotho et al, 2005). By extracting structured information from text and conducting research, text mining achieves highly automated analysis of textual data, making it applicable in various scenarios (Zhao and Chen, 2022). Hei-Chia Wang et al constructed an integrated summarization system based on text mining algorithms (Wang et al, 2020;Khan et al, 2022).…”
Section: Introductionmentioning
confidence: 99%