Concept Map Based Intelligent Knowledge Assessment System: Experience of Development and Practical Use

2011
Jānis Grundspeņķis

Concept maps (CMs), as pedagogical tools, have well established uses to support teaching, learning, and knowledge assessment. This chapter focuses on the use of CMs as knowledge assessment tools. The CM-based adaptive intelligent knowledge assessment system (IKAS) is described. The kernel of the IKAS is the intelligent knowledge assessment agent which is implemented as a multi-agent system consisting of the agent-expert, the communication agent, the knowledge evaluation agent, and the interaction registering agent. The knowledge evaluation agent compares the teacher’s and the learner’s CMs on the basis of graph patterns and assigns score for a submitted solution. Five-year long experience of developing and using IKAS has resulted in improvements and extensions of the system’s functionality and adaptivity. Evolution of IKAS and its characteristics are summarized. This chapter presents student opinions elicited from questionnaires about CMs as knowledge assessment tools. The results of the practical use of four versions of IKAS in different study courses are described.

Keywords
Concept map, knowledge assessment, adaptive intelligent knowledge assessment system, multi-agent system
DOI
10.1007/978-1-4419-7612-3_12
Hyperlink
http://link.springer.com/chapter/10.1007%2F978-1-4419-7612-3_12

Grundspeņķis, J. Concept Map Based Intelligent Knowledge Assessment System: Experience of Development and Practical Use. In: Multiple Perspectives on Problem Solving and Learning in the Digital Age. New York, Dordrecht, Heidelberg, London: Springer Science+Business Media, LLC, 2011. pp.179-198. ISBN 978-1-4419-7611-6. e-ISBN 978-1-4419-7612-3. Available from: doi:10.1007/978-1-4419-7612-3_12

Publication language
English (en)