Abstract
The major challenge in e-learning is the assessment as a tool to measure students’ knowledge. In this regard an intelligent system for generation and evaluation of e-learning tests using integer programming is proposed. The described system aims to determine a number of questions with different degree of difficulty from a predefined set of questions that will compose the test. It allows also generating tests with different level of complexity. To realize the selection of the questions for different levels of tests two optimization models are proposed. Both of these models are of linear integer programming. The first of them determines the minimum number of questions by selecting among more difficult questions, while the second one aims to maximize the number of questions by selecting among less difficult questions. The proposed intelligent system for generating and evaluating e-learning tests with different levels of complexity is implemented as web-based application. The numerical testing of the developed prototype of the intelligent system for generation of tests for e-learning purposes is demonstrated in a web programming course.
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Borissova, D., Keremedchiev, D. (2020). Intelligent System for Generation and Evaluation of e-Learning Tests Using Integer Programming. In: Simian, D., Stoica, L. (eds) Modelling and Development of Intelligent Systems. MDIS 2019. Communications in Computer and Information Science, vol 1126. Springer, Cham. https://doi.org/10.1007/978-3-030-39237-6_7
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DOI: https://doi.org/10.1007/978-3-030-39237-6_7
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