Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12540/451
Title: Computational estimate visualisation and evaluation of agent classified rules learning system
Authors: Ehimwenma, Kennedy E. 
Beer, Martin 
Crowther, Paul 
Issue Date: 2016
Publisher: Kassel University Press GmbH
Source: Ehimwenma, K. E., Beer, M., & Crowther, P. (2016). Computational estimate visualisation and evaluation of agent classified rules learning system. International Journal of Emerging Technologies in Learning, 11(1), 38-47.
Journal: International Journal of Emerging Technologies in Learning 
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 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.
URI: https://hdl.handle.net/20.500.12540/451
DOI: 10.3991/ijet.v11i01.5001
Appears in Collections:Scholarly Publications

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