ABSTRACT
This study is a continuation of Jing and Zhao's study to further examine the validity and reliability of Jing and Zhao's MOOC Satisfaction Scale in 2020 (MSS-20) by using new survey data. The MSS-20 consists of five factors and 28 items. Based on the questionnaire data from 141 university students, we examine the MSS-20 by using the methods of item analysis, EFA, and reliability analysis. The analysis results re-confirm the proper discrimination of the 28 items and the validity of four factors in the MSS-20 but do not support the factor of Assessment and Examination in the MSS-20. Moreover, the number of items under each factor in the present study varies from that in MSS-20. By re-examining the MSS-20, a verified Scale, named MSS-21, is formed. The MSS-21 and its process of formation could be references to the future measurement of learners' satisfaction with MOOC.
- Di Jing and Dong-chen Zhao. 2020. Developing a Scale to Measure University Student's Satisfaction with MOOC. In Proceedings of the 5th International Conference on Distance Education and Learning (ICDEL 2020). Association for Computing Machinery, New York, NY, USA, 42-47. DOI=https://doi.org/10.1145/3402569.3402586Google ScholarDigital Library
- Meltem Huri Baturay. 2015. An overview of the world of MOOCs. Procedia - Social and Behavioral Sciences. 174, )Feb. 2015(, 427-433. DOI=https://doi.org/10.1016/j.sbspro.2015.01.685Google Scholar
- Laura Pappano. 2012. The year of the MOOC. The New York Times. February 12, 2012.Google Scholar
- Zhimin Li. 2019. Introduction to the development of global MOOC platforms in 2018. Retrieve December 21, 2020 from http://www.ict.edu.cn/html/lzmwy/mooc/n20190130_56453.shtmlGoogle Scholar
- Shuo Zhang. 2019. China MOOC, promoting “Internet + education equity”. People's Daily. April 22, 2019.Google Scholar
- Yuting Ye. 2020. The number and application of MOOCs in China ranks first in the world. People's Daily. December 13, 2020.Google Scholar
- Yahan Zhuge. 2015. 2.67 million peoples took Tsinghua MOOC in two years. China Youth Daily. October 14, 2015.Google Scholar
- Yong Zheng. 2017. The pass rate of Chinese universities MOOCs is only 1.5%. Retrieve December 15, 2020 from https://www.sohu.com/a/124497691_101928.?spm=smpc.content.share.1.15910873655270pRskXHGoogle Scholar
- Ministry of Education. 2019. China MOOC Action Declaration. Retrieve January 12, 2020 from http://www.moe.gov.cn/s78/A08/A08_ztzl/ztzl_zxkf/201904/t20190418_378663.htmlGoogle Scholar
- Institute of Educational Information Technology of UNESCO, & Tsinghua University. 2020. Beijing Declaration on MOOC Development. Retrieve December 25, 2020 from https://www.eol.cn/news/dongtai/202012/t20201214_2056817.shtmlGoogle Scholar
- Shu-Sheng Liaw. 2008. Investigating students' perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system. Comput. Educ. 51, 2 (September, 2008), 864-873. https://doi.org/10.1016/j.compedu.2007.09.005Google ScholarDigital Library
- Chang Zhu. 2017. University student satisfaction and perceived effectiveness of a blended learning course. Int. J. Learn. Technol. 12, 1 (January 2017), 66-83. https://doi.org/10.1504/IJLT.2017.083996Google ScholarDigital Library
- Ning Xu, Sheng-Chieh Chou, Tsui-Feng Huang, and Chih-Hung Chou. 2020. Research on Improvement Design and Teaching Satisfaction of Hybrid-teaching Taking the course of "Human Resource Management" as an example. 2020 The 4th International Conference on E-Society, E-Education and E-Technology. Association for Computing Machinery, New York, NY, USA, 31-36. https://doi.org/10.1145/3421682.3421703Google ScholarDigital Library
- Khe Foon Hew, Xiang Hu, Chen Qiao, and Ying Tang. 2020. What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach. Comput. Educ.. 145, 1 (February 2020), 238-252. https://doi.org/10.1016/j.compedu.2019.103724Google ScholarDigital Library
- Bahaa G. Gameel. 2017. Learner satisfaction with Massive Open Online Courses. American Journal of Distance Education. 31, 2, 98-111. http://dx.doi.org/10.1080/08923647.2017.1300462Google ScholarCross Ref
- Robert F. DeVellis. 2017. Scale development: Theory and applications (4th ed.). Sage, Thousand Oaks, CA.Google Scholar
- Minglong Wu. 2010. Questionnaire statistical analysis practice-SPSS operation and application. Chongqing University Press. Chongqing, China.Google Scholar
- Guilin Yu. 2012. Factor analysis: From exploratory factor analysis to confirmatory factor analysis. Wunan Book Publishing Co., Ltd. Taipei, China.Google Scholar
Index Terms
- Re-examining a Scale for Measuring University Students Satisfaction with MOOC
Recommendations
Developing a Scale to Measure University Student's Satisfaction with MOOC
ICDEL '20: Proceedings of the 5th International Conference on Distance Education and LearningMassive Open Online course (MOOC) has been widely used in higher education. University student's satisfaction with MOOC is an important variable in MOOC investigation. To help people better conceptualize and quantify the learner's satisfaction with MOOC,...
Investigating university student preferences and beliefs about learning in the web-based context
Psychological studies have shown that personal beliefs about learning and environmental preferences affect learning behaviors. However, these learner characteristics have not been widely discussed in the web-based context. By developing questionnaires, ...
Examining Personalization in Academic Web Search
HT '15: Proceedings of the 26th ACM Conference on Hypertext & Social MediaPersonalization promises to improve the accuracy of Web search and has been drawing much research attention recently. Some evidence indicates that for educational purposes, the disadvantages of personalized search are not justified by its benefits. The ...
Comments