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Identifying Student Behavior for Improving Online Course Performance with Machine Learning
(2015-12)
In this study we investigate the correlation between student behavior and performance in
online courses. Based on the web logs and syllabus of a course, we extract features that
characterize student behavior. Using machine ...
Computational Support for Predicting Requirement Change Volatility in Complex System Design
(2018-12)
Requirements play critical role in the design process as objective statements of
stakeholders’ expectations. Design process is iterative, and requirements are also constantly
changed and updated to reflect stakeholders’ ...
MDT Geolocation Through Machine Learning: Evaluation of Supervised Regression ML Algorithms
(2019-12)
Minimizing Drive Test is a statistical protocol used to evaluate the network
performance. It provides several benefits with respect to traditional drive test
analysis; however, multiple inconveniences exist that prevent ...