This study explores how faculty members select and use the educational materials employed in their courses. The primary sample represents all teaching faculty across all types of degree-granting higher education institution in the United States. Two subgroups of faculty are called out for detailed examination: those teaching large-enrollment…

This study assesses the extent to which machine learning techniques can be used to predict question quality. An algorithm based on textual complexity indices was previously developed to assess question quality to provide feedback on questions generated by students within iSTART (an intelligent tutoring system that teaches reading strategies). In…