Educational data mining is widely deployed to extract valuable information and patterns from academic data. This research explores new features that can help predict the future performance of undergraduate students and identify at-risk students early on. It answers some crucial and intuitive questions that are not addressed by previous studies.…

Computational thinking (CT) is being recognized as a critical component of student success in the digital era. Many contend that integrating CT into core curricula is the surest method for providing all students with access to CT. However, the CT community lacks an agreed-upon conceptualization of CT that would facilitate this integration, and…

Includes "Foreword" (O'Connor, Fidoten); "Organizational and End-User Information Systems (OEIS)" (Regan); "Curriculum Development" (Bronner); "OEIS Model Curriculum" (O'Connor); "OEIS Model Curriculum: A Template for Implementation" (Moses, Rehwaldt); "Status of Model Curricula Development" (Caouette, Lutz); "Training in Industry and Education"…

Reviews arguments surrounding the inclusion of computer literacy as part of core requirements for all undergraduates, considering the effect of the current postsecondary educational reform movement. Describes seven models for linking general education and computer science, and highlights American University's approach, which integrates computing…