Computational Estimate Visualisation and Evaluation of Agent Classified Rules Learning System

Kennedy Efosa Ehimwenma, Martin Beer, Paul Crowther


Student modelling and agent classified rules learning as applied in the development of the intelligent Pre-assessment System has been presented in [10],[11]. In this paper, we now demystify the theory behind the development of the pre-assessment system followed by some computational experimentation and graph visualisation of the agent classified rules learning algorithm estimation and prediction of classified rules. In addition, we present some preliminary results of the pre-assessment system evaluation. From the results it is gathered that the system has performed according to its design specification.


agent learning; speech acts; ontology; classification; pre-assessment; student evaluation; visualisation; prediction; artificial intelligence

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Copyright (c) 2017 Kennedy Efosa Ehimwenma, Martin Beer, Paul Crowther

International Journal of Emerging Technologies in Learning. ISSN: 1863-0383
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