Evaluating student learning using concept maps and Markov chains

    Authors

    V. P. Gurupur; G. P. Jain;R. Rudraraju

    Comments

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    Abbreviated Journal Title

    Expert Syst. Appl.

    Keywords

    Concept maps; Student evaluation; Artificial intelligence; Finite Markov; chains; Transition matrix; XML parsing; KNOWLEDGE; SYSTEM; Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic; Operations Research & Management Science

    Abstract

    In this paper we describe a tool that can be effectively used to evaluate student learning outcomes using concept maps and Markov chain analysis. The main purpose of this tool is to advance the use of artificial intelligence techniques by using concept maps and Markov chains in evaluating a student's understanding of a particular topic of study using concept maps. The method used in the tool makes use of XML parsing to perform the required evaluation. For the purpose of experimenting this tool we have taken into consideration concept maps developed by students enrolled in two different courses in Computer Science. The result of this experimentation is also discussed. (C) 2014 Elsevier Ltd. All rights reserved.

    Journal Title

    Expert Systems with Applications

    Volume

    42

    Issue/Number

    7

    Publication Date

    1-1-2015

    Document Type

    Article

    Language

    English

    First Page

    3306

    Last Page

    3314

    WOS Identifier

    WOS:000350182600002

    ISSN

    0957-4174

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