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Impacts of Students Academic Performance Trajectories on Final Academic Success
Many studies in the field of education analytics have identified student grade point averages (GPA) as an important indicator and predictor of students' final academic outcomes (graduate or halt).
Improving Graduation Rate Estimates Using Regularly Updating Multi-Level Absorbing Markov Chains
To~overcome both these challenges, we propose and evaluate the use of a regularly updating multi-level absorbing Markov chain (RUML-AMC) in which the transition matrix is updated year to year.
Applications
Quantifying the relationship between student enrollment patterns and student performance
Based the enrollment strategies we investigate and compare the academic performance outcomes of each group, taking into account differences between first-time-in-college students and transfer students.
