DocumentCode :
240465
Title :
Investigating E-book Reading Patterns: A Human Factors Perspective
Author :
Jan-Pan Hwang ; Kinshuk ; Yueh-Min Huang
Author_Institution :
Dept. of Eng. Sci., Nat. Chung Kung Univ., Tainan, Taiwan
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
104
Lastpage :
108
Abstract :
In this study, a multimedia e-book system is built and its use monitored in an empirical study investigating various factors which effect learners´ reading preferences. 69 fifth-grade students participated in this experiment, one student with an attention deficit hyperactivity disorder was excluded. After three weeks of learning activities, we found that there are differences in browsing patterns, navigation facilities, and annotation patterns in terms of gender. In the cognitive style, holists use bookmarks (tags made by the learner) to navigate more than serialists. Also, regarding annotation patterns, there are statistically significant differences related to the degree of the user´s prior knowledge. Parts of the results are similar to those found in previous research, as well as some interesting findings. The findings of this study contribute a deeper understanding of the relationship between human factors and the usage of e-books. This understanding can be applied to develop adaptive e-books that can accommodate learners´ individual differences.
Keywords :
cognition; computer aided instruction; electronic publishing; gender issues; human factors; adaptive e-books; annotation patterns; attention deficit hyperactivity disorder; browsing patterns; cognitive style; e-book reading patterns; holists use bookmarks; human factor perspective; learner individual differences; learner reading preferences; learning activities; multimedia e-book system; navigation facilities; user prior knowledge; Computers; Education; Electronic publishing; Human factors; Internet; Learning systems; Navigation; Adaptive learning; Cognitive style; Human factor; Reading pattern; e-book learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location :
Athens
Type :
conf
DOI :
10.1109/ICALT.2014.39
Filename :
6901410
Link To Document :
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