WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2872
Volume 15, 2016
A Markovian Model for Adaptive E-Assessment
Authors: , , ,
Abstract: The development of Information Communication Technologies (ICT) has increased the popularity of web based learning and E-assessment. The success of any online assessment is largely dependent on the quality of the question bank from which the questions are drawn. Various techniques are available for dynamically generating questions during E-assessment with different difficulty levels. Calibrating the question bank to know the measurement characteristics of the questions is a necessary part of large E-assessment. Classification of a question involves assigning a difficulty level to each question. An adaptive E-assessment strategy has been formulated to test the proficiency in ‘Programming using C’ language. This paper deals with the application of Markov chain to assess the reliability of question classification and to classify the performance of the students based on the attainment of handling difficulty levels over a period of time.
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Keywords: Adaptive E-assessment, Question Classification, Multiple Choice Questions (MCQ), Degree of Toughness (DT), Markov Chain, Steady State Probability
Pages: 179-188
WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 15, 2016, Art. #18