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Learning Behavioral Differences Among Students and Ethical Issues in a University Cloud Classroom System
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Author(s): Zhi Liu (Central China Normal University, China), Hai Liu (Central China Normal University, China), Hao Zhang (Central China Normal University, China)and Sannyuya Liu (Central China Normal University, China)
Copyright: 2019
Pages: 32
Source title:
Emerging Trends in Cyber Ethics and Education
Source Author(s)/Editor(s): Ashley Blackburn (University of Houston – Downtown, USA), Irene Linlin Chen (University of Houston – Downtown, USA)and Rebecca Pfeffer (University of Houston – Downtown, USA)
DOI: 10.4018/978-1-5225-5933-7.ch009
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Abstract
In a private learning environment, each learner's interactions with course contents are treasured clues for educators to understand the individual and collective learning process. To provide educators with evidence-based insights, this chapter intends to adopt sequential analysis method to unfold learning behavioral differences among different groups of students (grade, subject, and registration type) in a university cloud classroom system. Experimental results indicate that sophomores undertake more learning tasks than other grades. There are significant differences in task-related and self-monitoring behaviors between liberal arts and science learners. Registered learners have higher participation levels than non-registered ones. Meanwhile, a user study aiming to analyze students' learning feelings indicates that a fraction of students have dishonest behaviors for achieving a good online performance. Finally, this study discusses behavioral ethical issues emerged in cloud classroom, which deserve the attention of educators for regulating and optimizing the online learning process of students.
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