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. [Article]

Documents
11847:36417
[thumbnail of Ehimwenma computational estimate visualistion.pdf]
Preview
PDF
Ehimwenma computational estimate visualistion.pdf - Accepted Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview
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.
More Information
Statistics

Downloads

Downloads per month over past year

Metrics

Altmetric Badge

Dimensions Badge

Share
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Actions (login required)

View Item View Item