Students' perception on the optimized e-commerce course in Zhumadian Vocational and Technical College based on ARCS incentive model
DOI:
https://doi.org/10.53797/jthkkss.v5i1.5.2024Keywords:
ARCS model, attention, relevance, confidence, satisfactionAbstract
At present, students at vocational colleges usually lack good learning habits and autonomous learning ability. China’s e-commerce industry has developed rapidly in recent years due to policy support, and thus the positioning and the curriculum design system of the e-commerce major urgently need to be improved and upgraded. This research aims to e. Applying the ARCS (attention, relevance, confidence, and satisfaction) motivation model, this research investigated the actual students’ motivation at Zhumadian Vocational and Technical College to obtain a more effective classroom design of the e-commerce course. The four elements of the ARCS motivation model, as independent variables, will examine within a conceptual framework on whether they have an impact on students’ motivation to sustain in the course, which is the dependent variable. According to the result of findings, these construct have correlation each other, either strong, week or moderate.
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References
Gomez-Herrera, E., Martens, B., & Turlea, G. (2014). The drivers and impediments for. cross-border e-commerce in the EU. Information Economics and Policy, 28, pp. 83-96.
https://digitalcommons.lsu.edu/gradschool_theses/1738Bujang, M. A., Omar, E. D. & Baharum,
https://www.survio.com/en/blog/quantitative-research-1-introduction
Huang, J. and Kisgen, D. J. (2013) Gender and corporate finance: Are male executives overconfident relative to female executives? Journal of Financial Economics, 108(3), 822-839.
Jun, Y., Xiao-Hui, S., & Yan, G. (2021). The “Competition” for Training Cross Border. E-commerce Talents in China on the Background of “Internet Plus”. Journal of Higher Education Theory & Practice, 21(6).
Keller, J. M. (2010). Motivational Design for Learning and Performance: The ARCS model approach. New York, NY: Springer.
Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607-610.
Omar, E. D. (2018). A Review on Sample Size Determination for Cronbach’s Alpha Test: A Simple Guide for Researchers. The Malaysian journal of medical sciences, 25(6), 85-99.
Ou, H. (2004). Study on Motivation of Secondary Vocational Students. Guangzhou: South China Normal University Press.
Qing, C., & Cheng, Z. (2019). The Development Modes and Strategic Advice of Cross-Boarder E-Commerce in China.
Survio, F. (2013). Quantitative Research 1- Introduction.
Yu, L., Wei, W., Guo, J., & Qin, X. (2021). Construction of cross border E-commerce comprehensive training curriculum system based on virtual simulation. In International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, pp. 707-714.
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