doi: 10.4304/jsw.8.10.2503-2510
An Empirical Study of the Critical Factors Influencing Learner Satisfaction and Effectiveness: A 3D CAD System’s Perspective
2Department of Textile and Design, Jiaxing Vocational Technical College, Jiaxing, China
3College of Media and International Culture, Zhejiang University, Hangzhou, China
Abstract—This study proposed a multicriteria methodology from the perspective of perceived learner satisfaction on the basis of the fields of human–computer interaction, information systems, and educational theory. The published critical success factors of the information system were surveyed and grouped into four categories: user-interface design, quality of technology, learners’ interactive collaboration capabilities, and instructors’ technical competence. Each category included several measures. A survey was conducted to investigate these critical success factors affecting learning satisfaction in 3D environment. The sampling consisted of students at both undergraduate and graduate levels who were users of a three-dimensional computer-aided design (3D CAD) system. The analytical results revealed that user-interface design, learners’ interactive collaboration capabilities, and instructors’ technical competence are the critical factors affecting perceived learner satisfaction. The findings of this study teach academics and practitioners of 3D CAD systems how to enhance learner satisfaction and further strengthen the implementation of their learning programs.
Index Terms—3D CAD System, Multicriteria Methodology, Learner Satisfaction.
Cite: Xuefang Zhang, Renqun Huang, Hong Chen, "An Empirical Study of the Critical Factors Influencing Learner Satisfaction and Effectiveness: A 3D CAD System’s Perspective," Journal of Software vol. 8, no. 10, pp. 2503-2510, 2013.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
CNKI, Google Scholar, ProQuest,
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