Computational estimate visualisation and evaluation of agent classified rules learning system

EHIMWENMA, Kennedy E., BEER, Martin and CROWTHER, Paul (2016). Computational estimate visualisation and evaluation of agent classified rules learning system. International journal of emerging technologies in learning, 11 (1), 38-47.

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Official URL: http://online-journals.org/index.php/i-jet/issue
Link to published version:: Doi :10.3991/ijet.v11i1.5001

Abstract

Student modelling and agent classified rules learning as applied in the development of the intelligent Preassessment 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 in the 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.

Item Type: Article
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Identification Number: Doi :10.3991/ijet.v11i1.5001
Depositing User: Helen Garner
Date Deposited: 16 Mar 2016 15:01
Last Modified: 10 Nov 2016 00:46
URI: http://shura.shu.ac.uk/id/eprint/11847

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