International Association of Educators   |  ISSN: 1308-9501

Original article | International Journal of Educational Researchers 2017, Vol. 8(2) 1-8

Exploring Student’s Perceptions of Computer based Testing for University Entrance Examination By Using Technology Acceptance Model: Case Study State University of Malang, Indonesia

Saida Ulfa

pp. 1 - 8   |  Manu. Number: MANU-1711-22-0001

Published online: December 12, 2017  |   Number of Views: 334  |  Number of Download: 974


Abstract

The computer based Testing (CBT) implementation in higher education has been increasing recently. State University of malang, Indonesia initiated to conduct CBT in 2015 for University Entrance Examination. Technology acceptance model (TAM) was used to explore the students’ perception in using CBT. The objective of this research was to examine the relationship between Perceived Ease of Use, Perceived Usefulness, and Attitude towards Behavioral Intention in using Computer based Testing for University Entrance Examination in State University of Malang, Indonesia. The research findings had proven the previous studies’ theory that perceived ease of use has a positively influences on perceived usefulness, while both perceived ease of use and perceived usefulness have the direct effects on attitude toward usage. Furthermore, attitude affects to behavioral intention.

Keywords: computer based testing, technology acceptance model


How to Cite this Article?

APA 6th edition
Ulfa, S. (2017). Exploring Student’s Perceptions of Computer based Testing for University Entrance Examination By Using Technology Acceptance Model: Case Study State University of Malang, Indonesia. International Journal of Educational Researchers, 8(2), 1-8.

Harvard
Ulfa, S. (2017). Exploring Student’s Perceptions of Computer based Testing for University Entrance Examination By Using Technology Acceptance Model: Case Study State University of Malang, Indonesia. International Journal of Educational Researchers, 8(2), pp. 1-8.

Chicago 16th edition
Ulfa, Saida (2017). "Exploring Student’s Perceptions of Computer based Testing for University Entrance Examination By Using Technology Acceptance Model: Case Study State University of Malang, Indonesia". International Journal of Educational Researchers 8 (2):1-8.

References
  1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes. Vol 50.No.2, 179-211. [Google Scholar]
  2. Bahr, M. W., & Bahr, C. M. (1997). Educational assessment in the next millennium: Contributions of technology. Preventing School Failure, 41(2), 90-94. [Google Scholar]
  3. Davis, F. (1989). Perceived Usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, Vol. 13, 318-341. [Google Scholar]
  4. Davis, F. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal Man-Machine Studies, 475-487. [Google Scholar]
  5. Eriksson, K., Kerem, K., & Nilsson, D. (2005). Customer acceptance of internet banking in Estonia . International Journal of Bank Marketing Vol 23. No.2, 200-216. [Google Scholar]
  6. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley. [Google Scholar]
  7. Hu, P., Chau, P., Liu Sheng, O. R., & Tam, K. (1999). Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management Information Systems.Vol. 16, 91-112. [Google Scholar]
  8. Kimberlin, C. L., & Winterstein , A. G. (2008). Validity and reliability of measurement instruments used in research. American journal of Health System Pharmachy, 65(23):2276-84. doi: 10.2146/ajhp070364. [Google Scholar] [Crossref] 
  9. Luecht , R. M., & Sireci, S. G. (2011). A Review of Models for. CollegeBoard. [Google Scholar]
  10. Nunnally , J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill. [Google Scholar]
  11. Pikkarainen, T. (2004). Customer acceptance of online banking”: An extension of the Technology Acceptance Model. Internet Research, Vol. 16 No. 2. [Google Scholar]
  12. Shermis, M. D., Stemmer, P. M., & Webb, P. M. (1996). Computerized adaptive skill assessment in a statewide testing program. Journal of Research on Computing in Education 29(1), 49–67. [Google Scholar]
  13. Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education. Vol.52. No.2. [Google Scholar]
  14. Teo, T. H., Lim, V. G., & Lai, R. C. (1999). Intrinsic and Extrinsic Motivation in Internet Usage. Omega (27:1). [Google Scholar]
  15. Willis, T. J. (2008). An evaluation of the Technology Acceptance Model as a means of understanding online social networking behavior. Florida: University of South Florida. [Google Scholar]
  16. Wong, G. W. (2015). Understanding technology acceptance in pre-service teachers of primary mathematics in Hong Kong. Australasian Journal of Educational Technology, Vol 31. No.6. [Google Scholar]
  17. Yan Piaw, C. (2011). Comparisons Between Computer-Based Testing And Paper-Pencil Testing: Testing Effect, Test Scores, Testing Time And Testing Motivation. The Informatics Conference. Kuala Lumpur. [Google Scholar]