Computational Estimate Visualisation and Evaluation of Agent Classified Rules Learning System

Kennedy Efosa Ehimwenma, Martin Beer, Paul Crowther

Abstract


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.

Keywords


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

Full Text:

PDF

Comments on this article

View all comments


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


International Journal of Emerging Technologies in Learning. ISSN: 1863-0383
Creative Commons License SPARC Europe Seal
Indexing:
Web of Science ESCI logo Engineering Information logo INSPEC logo DBLP logo ELSEVIER Scopus logo EDiTLib logo EBSCO logo Ulrich's logo Google Scholar logo Microsoft® Academic Search