publication . Conference object . 2017

Can machine learning on learner analytics produce a predictive model on student performance?

Busch, John; Hanna, Philip; O'Neill, Ian; McGowan, Aidan; Collins, Matthew;
Open Access English
  • Published: 21 Jun 2017
  • Country: Bangladesh
Abstract
The aim of this research is to analysis past student learner analytics using machine learning algorithms that had undertaken a web development and programming module. By specifically using the access and error web server logs from each student web server it provides a deeper learner analytic data. The web server logs every web file access and error access from a browser so in turn each data file can directly relate to a student's engagement level and assessment strategy. Each log holds several types of information which is filtered to make sure only the relevant dataset is processed through the machine learning framework. The students' performance data was also ...
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