Computational Estimate Visualisation and Evaluation of Agent Classified Rules Learning System

Authors

  • Kennedy Efosa Ehimwenma Sheffield Hallam University UK
  • Martin Beer Sheffield Hallam University UK
  • Paul Crowther Sheffileld Hallam University UK

DOI:

https://doi.org/10.3991/ijet.v11i01.5001

Keywords:

agent learning, speech acts, ontology, classification, pre-assessment, student evaluation, visualisation, prediction, artificial intelligence

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 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.

Author Biographies

Kennedy Efosa Ehimwenma, Sheffield Hallam University UK

PhD student Dept of Computing Faculty of Arts, Computing, Engineering & Sciences

Martin Beer, Sheffield Hallam University UK

Department of Computing Principle Lecturer

Paul Crowther, Sheffileld Hallam University UK

Department of Computing Associate Professor

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Published

2016-02-01

How to Cite

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 (iJET), 11(01), pp. 38–47. https://doi.org/10.3991/ijet.v11i01.5001

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Section

Papers