Strategies for Improving E-Exam integrity

Authors

  • Firoz Kayum Kajrekar  Department CS & IT, SPK, Sawantwadi, Maharashtra, India
  • Chandrashekar Sonawane  Department CS & IT, YCC College, Sillod, Maharashtra, India

Keywords:

E-Learning, Online exam, Online Test

Abstract

To improve the e-learning and test the learners online performance or credibility, some strategies are developed and put forward for the teachers. Due to lack of fair environment and authentication methods to verify the legality of the student, in the current self-learning web based or online exam system, it is difficult for staff or teachers to control credible the assessment. This study adopts a strategy for teacher and adjusted authentication process for improving higher score credibility of online exam. Survey conducted through 400 student shows that 90% students regards that online test scores are credible. According to data analysis, all p-values of questionnaires are significantly different between pre-test and post-test, but the distributions of all post-test means are not enough. After analysis of the data, 40 students were interviewed and feedback was obtained for improvements in online testing policy for future reference of teacher or faculty

References

  1. Bolin, A.U., 2004. Self-control, perceived opportunity and attitudes as predictors of academic dishonesty. J. Psychol.: Interdisciplin. Applied, 138: 101-114.
  2. Castillo-Merino, D. and E. Serradell-Lopez, 2014. An analysis of the determinants of students' performance in e-learning. Comput. Hum. Behav., 30: 476-484.
  3. Chen, R.S. and I.F. Liu, 2013. Research on the effectiveness of information technology in reducing the rural-urban knowledge divide. Comput. Educ., 63: 437-445.
  4. Chen, R.S., K.K. Hsieh and C.H. Tsai, 2010. The implementation of face recognition technology and its effect on e-quiz credibility. Asian J. Qual., 11: 125-136.
  5. Czerniewicz, L. and C. Brown, 2009. A study of the relationship between institutional policy, organisational culture and e-learning use in four South African universities. Comput. Educ., 53: 121-131.
  6. Davis, F.D. and V. Venkatesh, 1996. A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. Int. J. Hum. Comput. Stud., 45: 19-45.
  7. Davis, F.D., 1986. A technology acceptance model for empirically testing new end-user information systems: Theory and results. Ph.D. Thesis, Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA., USA.
  8. DeLone, W.H. and E.R. McLean, 1992. Information systems success: The quest for the dependent variable. Inform. Syst. Res., 3: 60-95.
  9. Fogg, B.J., C. Soohoo, D.R. Danielson, L. Marable, J. Stanford and E.R. Tauber, 2003. How do users evaluate the reliability of web sites? A study with over 2,500 participants. Proceedings of the Conference on Designing for User Experiences, June 5-7, 2003, New York, USA., pp: 1-15.
  10. Fornell, C. and D.F. Larcker, 1981. Evaluating structural equation models with unobservable variables and measurement error. J. Market. Res., 18: 39-50.
  11. Gimeno-Sanz, A. and J.M. de Siqueira, 2012. Implementing online language exams within the Spanish national university entrance examination: The PAULEX Universitas project. Procedia Social Behav. Sci., 34: 68-72.
  12. Haney, W.M. and M.J. Clarke, 2007. Cheating on Tests: Prevalence, Detection and Implications for Online Testing. In: Psychology of Academic Cheating, Anderman, E. and T. Murdock (Eds.). Academic Press, USA., ISBN-13: 978-0-12-372541-7, pp: 255-287.
  13. Kelloway, E.K., 1998. Using LISREL for Structural Equation Modeling: A Researcher's Guide. 1st Edn., Sage Publications, Inc., Thousand Oaks, CA., ISBN-13: 978-0761906261, Pages: 160.
  14. Keresztury, B. and L. Cser, 2013. New cheating methods in the electronic teaching era. Procedia Social Behav. Sci., 93: 1516-1520.
  15. King, C.G., R.W. Guyette and C. Piotrowski, 2009. Online exams and cheating: An empirical analysis of business students' views. J. Educ. Online, Vol. 6.
  16. Koul, R., 2012. Multiple motivational goals, values and willingness to cheat. Int. J. Educ. Res., 56: 1-9.
  17. Langa, C., 2013. Investigation of students' attitude to academic honesty-empirical study. Procedia-Social Behav. Sci., 76: 426-430.
  18. Lin, J.C.C. and H. Lu, 2000. Towards an understanding of the behavioural intention to use a web site. Int. J. Inform. Manage., 20: 197-208.
  19. Liu, I.F., M.C. Chen, Y.S. Sun, D. Wible and C.H. Kuo, 2010. Extending the TAM model to explore the factors that affect intention to use an online learning community. Comput. Educ., 54: 600-610.
  20. Otsuka, T., Y. Iwao, A. Miyagishima and S. Itai, 2011. Application of principal component analysis enables to effectively find important physical variables for optimization of fluid bed granulator conditions. Int. J. Pharmaceut., 409: 81-88.
  21. Seidel, T., G. Blomberg and A. Renkl, 2013. Instructional strategies for using video in teacher education. Teach. Teach. Educ., 34: 56-65.
  22. Skagert, K., L. Dellve, M. Eklof, A. Pousette and G. Ahlborg Jr., 2008. Leaders' strategies for dealing with own and their subordinates' stress in public human service organisations. Applied Ergon., 39: 803-811.
  23. Thornberg, R. and H. Elvstrand, 2012. Children's experiences of democracy, participation and trust in school. Int. J. Educ. Res., 53: 44-54.
  24. Venkatesh, V. and F.D. Davis, 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Manage. Sci., 46: 186-204.
  25. Wang, T.H., 2011. Implementation of Web-based dynamic assessment in facilitating junior high school students to learn mathematics. Comput. Educ., 56: 1062-1071.
  26. Westland, J.C., 2010. Lower bounds on sample size in structural equation modeling. Electron. Commerce Res. Applic., 9: 476-487.
  27. Yearworth, M., G. Edwards, J. Davis, K. Burger and A. Terry, 2013. Integrating problem solving and research methods teaching for systems practice in engineering. Procedia Comput. Sci., 16: 1072-1081.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Firoz Kayum Kajrekar, Chandrashekar Sonawane, " Strategies for Improving E-Exam integrity, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1487-1496, January-February-2018.