Multilevel process monitoring: A case study to predict student success or failure
Leo C.E. Huberts, Marit Schoonhoven, Ronald J. M. M. Does
Abstract
In this case study, we demonstrate the use of multilevel process monitoring in quality control. Using high school data, we answer three research questions related to high school student progress during an academic year. The questions are (1) What determines student performance? (2) How can statistical process monitoring be used in monitoring student progress? (3) What method can be used for predictive monitoring of student results? To answer these questions, we worked together with a Dutch high school and combined hierarchical Bayesian modeling with statistical and predictive monitoring procedures. The results give a clear blueprint for student progress monitoring.
Topics & Concepts
BlueprintMultilevel modelStatistical process controlComputer scienceBayesian probabilityProcess (computing)Control chartBayesian hierarchical modelingBayesian inferenceEngineeringMachine learningArtificial intelligenceMechanical engineeringOperating systemSoftware Reliability and Analysis ResearchAdvanced Data Processing TechniquesAdvanced Statistical Process Monitoring