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IJIET 2017 Vol.7(2): 110-113 ISSN: 2010-3689
doi: 10.18178/ijiet.2017.7.2.851

Using Homework Tip-on as a Post-flipped Learning Tool to Explore Students’ Interest, Cognition, and Reuse Intention

Hong Jon-Chao, Tsai Chi-Ruei, and Tai Kai-Wen

Abstract—Flipped learning has become prevalent in current schooling, as it allows students to construct their knowledge in a meaningful way. In contrast to flipped learning, post-flipped learning mainly focuses on reviewing post-class as opposed to previewing pre-class. This study applied Homework Tip-On as a post-flipped learning tool to explore the relationship between internet cognitive fatigue, problem posing cognitive loading, interest and reuse intention. Confirmatory factor analysis was used to verify the reliability and validity of the research instrument, and structural equation modeling was applied to better understand the correlates of students’ interest, cognition, and reuse intention. There were 198 effective questionnaires collected and the main results suggested that to evoke the students’ reuse intention, we have to reduce the students’ problem posing cognitive loading and increase their interest.

Index Terms—Internet cognitive fatigue, cognitive loading, post-flipped learning.

Hong Jon-Chao is with the Department of Industrial Education, National Taiwan Normal University, Taiwan (e-mail: hongjc@ntnu.edu.tw).
Tsai Chi-Ruei and Tai Kai-Wen are with National Taiwan Normal University (e-mail: bass2143@gmail.com, kevintai29@yahoo.com.tw).

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Cite: Hong Jon-Chao, Tsai Chi-Ruei, and Tai Kai-Wen, "Using Homework Tip-on as a Post-flipped Learning Tool to Explore Students’ Interest, Cognition, and Reuse Intention," International Journal of Information and Education Technology vol. 7, no. 2, pp. 110-113, 2017.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

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