Volume 3 Number 3 (Jun. 2013)
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IJEEEE 2013 Vol.3(3): 202-205 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2013.V3.223

Effects of Feedback Types on the Student‟s Self-Efficacy

Kai-Hsiang Yang and Yi-Hsuan Wu
Abstract— Self-efficacy has been found to play a key role in academic learning, and has a positive correlation with the student’s learning performance. Hence, how to improve student’s self-efficacy has become a major topic. Previous research shows that feedback can promote students' positive attitude towards learning and enhance the learning achievement. Hence, this study investigated the impact of the type of feedback for self-efficacy. There were 13 senior high school students participated in this study, and our results showed that self-efficacy and feedback behavior has a significant correlation. From the point of view of receiving different kinds of feedback, receiving KCR type of feedback can enhance student’s self-efficacy. Our findings can be used as a reference for teachers to design their Web-based learning courses. In particular, the EF type of feedback is regarded as a higher level of feedback. The more EF types of feedback students receive, the less self-efficacy students have. One possible reason is that the EF type of feedback is few, while many students receive the KCR types of feedback.

Index Terms— Feedback types, self-efficacy, web-based learning.

Kai-Hsiang Yang is with the Department of Mathematics and Information Education, National Taipei University of Education, Taiwan (e-mail: khyang@tea.ntue.edu.tw).
Yi-Hsuan Wu is with Department of Business Administration, China University of Science and Technology, Taiwan (e-mail: hsuan@cc.cust.edu.tw).

Cite: Kai-Hsiang Yang and Yi-Hsuan Wu, " Effects of Feedback Types on the Student‟s Self-Efficacy," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 3, no. 3, pp. 202-205, 2013.

General Information

ISSN: 2010-3654 (Online)
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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