Abstract
An advantage of intelligent tutoring systems (ITS) is their ability to adapt to the current knowledge level of each learner by offering most suitable tasks for him/her at the current phase of learning process. The main problem is how to evaluate the degree of task difficulty, which, as a rule, is done subjectively. The paper presents the first results of ongoing research, the final goal of which is to develop the formal method for evaluation of the degree of concept map-based task difficulty. The basic idea is to interpret and use for evaluation of concept map (CM) complexity the four aspects applied for estimation of systems complexity – the number of system’s elements and relationships between them, attributes of systems, their elements, and relationships, and the organizational degree of systems. The proposed approach is described using as an example relatively simple hierarchical CMs which complexity as systems is estimated.
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This work was supported by the Latvian National research program SOPHIS under grant agreement Nr. 10-4/VPP-4/11.
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Grundspenkis, J. (2016). Initial Steps Towards the Development of Formal Method for Evaluation of Concept Map Complexity from the Systems Viewpoint. In: Arnicans, G., Arnicane, V., Borzovs, J., Niedrite, L. (eds) Databases and Information Systems. DB&IS 2016. Communications in Computer and Information Science, vol 615. Springer, Cham. https://doi.org/10.1007/978-3-319-40180-5_25
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