Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…

This study developed an integrated-STEM CO[subscript 2] dragster design course using 3D printing technology. After developing a pre-engineering curriculum, we conducted a teaching experiment to assess students' differences in creativity, race forecast accuracy, and learning performance. We compared student performance in both 3D printing and…

The present study introduced "agentic engagement" as a newly proposed student-initiated pathway to greater achievement and greater motivational support. Study 1 developed the brief, construct-congruent, and psychometrically strong Agentic Engagement Scale. Study 2 provided evidence for the scale's construct and predictive validity, as…

The conference, dedicated to E.F. Lindquist, focused on three areas in which E.F. Lindquist pioneered: the development of tests of educational achievement, design and analysis techniques in educational research, and an application of electronic data processing to educational problems. Two of the papers are about the contributions to measurement…