Issue: Số 19 - Tháng 8 - 2022Tài chính - Ngân hàng - Bảo hiểm
Factors affecting the need for preparing financial math test and automating data changes in multiple choice questions
Published: July 31, 2026
Abstract
This study is to evaluate the factors affecting the need of finance and banking lecturers for preparing financial math test and automating data changes in multiple choice questions in order to help lecturers prepare financial math tests effectively and accurately.
The study’s results show that most of the features are user-friendly (above 4 score), except EFF7. It is necessary for the software’s group exercise function to reach 3.85 score due to the complexity of the group exercise on the simulation software.
This study is expected to improve the quality of the financial math test preparation software, automate the installation of math formulas, better support finance and banking lecturers in the preparation and fomulation of financial math tests.
Keywords
multiple choice softwarefinancial mathautomation
References
1.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control: From cognition to behavior (pp. 11-39). New York: Springer.
2.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. New Jersey: PreticeHall.
3.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
4.
Hattie, J., & Timperley, H. (2007). The power of feedback. Review of educational research, 77(1), 81-112.
5.
Rogers, Everett. (1983). Diffusion of Innovations. New York: The Free Press.
6.
Rogers, Everett M. (1995). Diffusion of Innovations: Modifications of a Model for Telecommunications. In Die diffusion von innovationen in der telekommunikation, 25-38. Berlin, Germany: Springer.
7.
Ghi chú: Sản phẩm là một phần của đề tài “Soạn thảo trắc nghiệm dạng TTC và tự động hóa trong việc thay đổi số liệu trong câu trắc nghiệm” thuộc Viện Khoa học xã hội liên ngành - Trường Đại học Nguyễn Tất Thành.
8.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of technology acceptance model: Four longitudinal field studies. Management Science, 46, 186-204.
9.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. B. (2003). User acceptance of information technology: Toward a Unified view. MIS Quarterly, 27(3), 425-478.
10.
Yuen, Kum Fai, Xueqin Wang, Li Ting Wendy Ng, and Yiik Diew Wong. (2018). An Investigation of Customers Intention to Use Self-Collection Services for Last-Mile Delivery. Transport Policy, 66, 1-8.
11.
Hu, Paul J., Patrick Y. K. Chau, Olivia R. Liu Sheng, and Kar Yan Tam. (2015). Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management Information Systems, 16(2), 91-112.