In education, machine learning (ML), especially deep learning (DL) in recent years, has been extensively used to improve both teaching and learning. Despite the rapid advancement of ML and its application in education, a few challenges remain to be addressed. In this thesis, in particular, we focus on two such challenges: (i) data scarcity and…

The purpose of this study was to investigate the relationship between academic achievement of secondary charter and traditional schools. Despite the national proliferation of charter schools, few people are studying the academic impact these schools are having with regard to state-mandated tests. Charter schools have been funded and politically…