Analysis of Reading Behavior Based on Students' Cognitive Styles and Learning Styles

被引:0
|
作者
Zhou, Juan [1 ]
Takada, Hideyuki [2 ]
Yin, Chengjiu [3 ]
机构
[1] Tokyo Inst Technol, Sch Environm & Soc, Tokyo, Japan
[2] Ritsumeikan Univ, Coll Informat Sci & Engn, Kyoto, Japan
[3] Kyushu Univ, Res Inst Informat Technol, Fukuoka, Japan
来源
JOURNAL OF INTERNET TECHNOLOGY | 2024年 / 25卷 / 03期
关键词
Learning analytics; Cognitive style; Reading behavior; Digital textbooks; Learning style; ARTIFICIAL-INTELLIGENCE; STRATEGIES; ANALYTICS; EDUCATION; INDEX;
D O I
10.53106/160792642024052503008
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study reports the results on the relationship between cognitive style and learning style to understand the reading behavior of undergraduate students using an e-book system from the standpoint of a learning analytics view. Data are recorded from 102 undergraduate students at a university in China for over 4 months. The obtained results indicate that students with an analytical cognitive style achieve the highest performance compared with the other cognitive style groups (quasi-intuitive, adaptive, and quasi-analytic) and better fit the global learning style. Further, their reading style groups (quasi-intuitive, adaptive, and quasi-analytic) as they re-read the first half to better understand the complete picture, following which, they continue their reading characteristics.
引用
收藏
页码:425 / 433
页数:9
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