Academic grades in assessments are predicted to determine if a student is at risk of failing a course. Sequential models or graph neural networks that have been employed for grade prediction do not consider relationships between course descriptions. We propose the use of text mining to extract semantic, syntactic, and frequency-based features from…

The purpose of this policy study was to report descriptive research on state-level policy and frameworks for accountability systems of alternative education in the United States. The six states; California, Colorado, Texas, Florida, Oklahoma, and North Carolina; identified in the 2010 Jobs for the Futures policy analysis of alternative education…