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.

[img]
Preview
PDF
Ehimwenma computational estimate visualistion.pdf - Accepted Version
Creative Commons Attribution.

Download (1MB) | Preview
Official URL: http://online-journals.org/index.php/i-jet/issue
Link to published version:: Doi :10.3991/ijet.v11i1.5001
Related URLs:

    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 - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: Doi :10.3991/ijet.v11i1.5001
    Page Range: 38-47
    Depositing User: Helen Garner
    Date Deposited: 16 Mar 2016 15:01
    Last Modified: 18 Mar 2021 16:22
    URI: http://shura.shu.ac.uk/id/eprint/11847

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics