COMPUTER BASED ASSESSMENT SYSTEM FOR EVALUATING SUBJECTIVE QUESTIONS
DOI:
https://doi.org/10.33003/fjs-2021-0501-558Keywords:
Computer Based Assessment (CBA), Grammar, Keyword, Subjective Questions, Synonyms.Abstract
With the increase in the number of students in our tertiary institutions coupled with the number of courses offered in the various universities, the management of examination processes has become more complex in terms of resources, time and manpower. This has resulted to the rapid adoption of a computerized means of conducting examinations instead of the traditional pen and paper. However, this computer-based technique currently used in our tertiary institutions in assessing students’ examination handles only the multiple choice questions (MCQ). This paper therefore is aimed at designing and implementing a simplified algorithm that assesses subjective (descriptive) type questions. Keyword and synonym matching techniques were used as the method for creating the simplified algorithm for the assessment of the subjective answers. The algorithm was designed using the Unified Modeling Language. The application was built in the NetBeans IDE version 8.2 with Java as the main programming language. Spring Boot Framework with Thymeleaf View Engine was used as the Web development Framework. MySQL was used for the database while HTML, CSS and JavaScript were used for building the web page interface. For the synonyms, grammar and spell checking, Merriam-Webster Dictionary API and Language Tool API were used. A prototype system was consequently developed, tested and various results shown.
References
Adeboye, K. R., Odio, A. O., Salisu, A. & Etuk, S. O. (2018). On the test implementation of the Numerov method. Journal of the Nigerian Association of Mathematical Physics, 45(1): 1-7.
Afolayan, I., Simos, T. E. & Tsitouras, Ch. (2019). Interpolants for sixth-order Numerov-type methods. Mathematical Methods in the Applied Sciences, 42(18): 7349-7358.
Bennett, D. Numerical solution of time-independent 1-D Schrodinger equation. Retrieved from https://www.maths.tcd.ie/~dbennett/js/schro.pdf
Dongjiao, T. (2014). Generalized matrix Numerov solutions to the Schrodinger equation, Bachelor’s thesis, National University of Singapore, Singapore.
Henrici, P. (1962). Discrete Variable Methods in Ordinary Differential Equations: John Wiley. New York.
Killingbeck, J. P. & Jolicard, G. (1999). The eighth order Numerov method. Physics Letters, A261: 40 – 43.
Lambert, J. D. (1973). Computational Methods in Ordinary Differential Equation: Wiley. London.
Mohamed, J. L. (1979). Numerical solution of with particular reference to the radical schrodinger equation, Durham theses, Durham University.
Tsitouras, Ch. & Simos, T. E. (2018). On ninth order explicit Numerov-type methods with constant coefficients. Mediterranean Journal of Mathematics, 15: 46.
Salzman, P. J. (2001). The Numerov algorithm. Retrieved from http://www.sites.google.com /site/phys306307/files/
Simos, T. E. & Tsitouras, Ch. (2020). Explicit ninth order, two step methods for solving inhomogeneous linear problems . Applied Numerical Mathematics, 153: 344-351.
Vigo-Aguiar, J. & Ramos, H. (2005). A variable-step Numerov method for the numerical solution of Schrodinger equation. Journal of Mathematical Chemistry, 37(3): 255-262.
Yasser, A. M. & Nahool, T. A., (2018). A new gate to Numerov’s method. Open Access Journal of Physics, 2(3): 1– 4.
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FUDMA Journal of Sciences
