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Identifying Student Behavior for Improving Online Course Performance with Machine Learning
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
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
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 ...