文章基本信息

标题：Computational Estimate Visualisation and Evaluation of Agent Classified Rules Learning System
本地全文：下载
作者：Kennedy Efosa Ehimwenma ; Martin Beer ; Paul Crowther 等
期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2016
卷号：11
期号：1
页码：38-47
语种：English
出版社：Kassel University Press
其他摘要：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.
关键词：agent learning;speech acts;ontology;classification;pre-assessment;student evaluation;visualisation;prediction;artificial intelligence