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PROGRAMING MOBILE WEB BASED FOR ADAPTIVE TESTING

https://doi.org/10.25205/1818-7900-2018-16-1-18-23

Abstract

In this article we evaluate the use of mobile devices for testing as compared to web-based assessment systems. Many educational organizations are trying to reduce the cost of the exams, the workload and delay of scoring, and the human errors. Also, they try to increase the accuracy and efficiency of the testing. Recently, most examination organizations use Computer Adaptive Testing (CAT) as the method for large scale testing. We consider the creation of test tasks for adaptive testing. An algorithm for the functioning of an adaptive system is proposed. An example of test tasks for carrying out adaptive testing is given, based on the proposed model. The results show that the majority of the MAT (mobile adaptive test) systems give priority to security, reliability and maintainability. However, they do not offer to the examinee any advanced support and functionalities. Also, the feedback to the examinee is limited and the presentation of the items is poor. Recommendations are made in order to enhance the overall quality of a CAT system. For example, alternative multimedia items should be available so that the examinee would choose his preferred media type. Feedback could be improved by providing more information to the examinee or providing information anytime the examinee wished.

About the Author

A. W. Altaher
Kazan Federal University
Russian Federation


References

1. Brown, J. D. (1997). Computers in language testing: present research and some future directions. Language Learning & Technology, 1(1), 44-59.

2. Chelyshkova M. B. Theory and practice of constructing pedagogical tests // Experimental educational and professional programs. M.: Issled. Center for Quality Problems in Training Specialists, 2001. 410 p.

3. Čisar, S. M., Radosav, D., Markoski, B., Pinter, R., & Čisar, P. (2010). Computer Adaptive Testing for Student’s Knowledge in C ++ Exam. Presented at the 11th IEEE International Symposium on Computational Intelligence and Informatics, Budapest, Hungary.

4. Chen, J., Wang, L. (2010). Computerized Adaptive Testing: A New Trend in Language Testing. In International Conference on Artificial Intelligence and Education (ICAIE) (p. 725-728).

5. Nurgabyl D. N. On a mathematical model of multi-step adaptive testing // Vestnik KazNPU im. Abay, a series of physical and mathematical sciences, 2014, No. 1. P. 143-149.

6. Reckase, M. D. (2010). Designing Item Pools to Optimize the Functioning of a Computerized Adaptive Test. Psychological Test and Assessment Modeling, 52 (2), 127-141.


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Altaher A.W. PROGRAMING MOBILE WEB BASED FOR ADAPTIVE TESTING. Vestnik NSU. Series: Information Technologies. 2018;16(1):18-23. (In Russ.) https://doi.org/10.25205/1818-7900-2018-16-1-18-23

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ISSN 1818-7900 (Print)
ISSN 2410-0420 (Online)