publication . Thesis . 2006

Statistical and Machine Learning Models to Predict Programming Performance

Bergin, Susan;
Open Access English
  • Published: 01 May 2006
  • Country: Ireland
Abstract
This thesis details a longitudinal study on factors that influence introductory programming success and on the development of machine learning models to predict incoming student performance. Although numerous studies have developed models to predict programming success, the models struggled to achieve high accuracy in predicting the likely performance of incoming students. Our approach overcomes this by providing a machine learning technique, using a set of three significant factors, that can predict whether students will be ‘weak’ or ‘strong’ programmers with approximately 80% accuracy after only three weeks of programming experience. This thesis makes three fu...
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Subjects
free text keywords: Computer Science
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Thesis . 2006
Provider: Maynooth University ePrints & eTheses Archive
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