Most existing autograders used for grading programming assignments are based on unit testing, which is tedious to implement for programs with graphical output and does not allow testing for other code aspects, such as programming style or structure. We present a novel autograding approach based on machine learning that can successfully check the…

The purpose of this study was to determine if there were significant statistical differences between scores on constructed response and computer-scorable questions on an accelerated middle school math placement test in a large urban school district in Ohio, and to ensure that all students have an opportunity to take the test. Five questions on a…

The potential of speech technology to improve educational outcomes has been a topic of great interest in recent years. For example, automatic speech recognition (ASR) systems could be employed to provide kindergarten-aged children with real-time feedback on their literacy and pronunciation as they practice reading aloud. Within these systems,…