Predicting Student's Performance using Data on Internet Technology Usage Behavioural Patterns

Authors

  • Esther Khakata  Faculty of Information Technology, Strathmore University, Nairobi, Kenya
  • Vincent Omwenga  Faculty of Information Technology, Strathmore University, Nairobi, Kenya
  • Simon Msanjila  Faculty of Information Technology, Strathmore University, Nairobi, Kenya

Keywords:

Internet technology, Student Performance, Stochastic Differential Equation (SDE), Predictive Model, Behavioural Patterns

Abstract

Predicting student performance is becoming increasingly important to the learners and other stakeholders. This is due to the central role that prediction plays in planning for resources in a constrained learning environment. Availability of the large educational dataset has promoted the emergence of various analytical approaches aimed at providing accurate prediction. Most of these approaches have relied on data that measure specific outcome rather than tracking the process that leads to a particular outcome. This paper proposes a Stochastic Differential Equation predictive model that evaluates in an analytic way the process leading to a certain level in student performance. The model will use data based on the behavioural patterns in the use of Internet Technology.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

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How to Cite

[1]
Esther Khakata, Vincent Omwenga, Simon Msanjila, " Predicting Student's Performance using Data on Internet Technology Usage Behavioural Patterns , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1733-1740, January-February-2018.