Home > Online Frist >

Factors Affecting Student Satisfaction with Blended Instruction for the “Digital Image Fundamental” Course at Chengdu University

Xiang Chaochu and Somsit Duangekanong

Abstract—This research evaluated the factors that significantly influenced student satisfaction with blended instruction in the “Digital Image Fundamental” course for the animation major at Chengdu University. The conceptual framework assumed causal connections among five vital latent variables. The quantitative analysis included data from 210 participants selected through multistage sampling. After the data collection, confirmatory factor analysis and structural equation model were employed to verify all the hypotheses for the framework constructs. Each latent variable had a significant impact on the connected one, and course structure demonstrated the strongest influence on satisfaction; hence, the five hypotheses were verified. Based on the findings, it is recommended that the office of academic affairs of animation departments at public universities consider the essential factors of student satisfaction for blended instruction schema to improve satisfaction levels for undergraduates with an animation major.

Index Terms—Blended instruction, digital image fundamental, perceived ease of use, perceived usefulness, attitude, course structure, satisfaction.

Xiang Chaochu is with Assumption University, Thailand (e-mail: 254494839@qq.com).
Somsit Duangekanong is with the Graduate School of Business and Advanced Technology Management, Assumption University of Thailand (e-mail: singapore_ben@yahoo.co.uk).


Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net

Article Metrics in Dimensions