This paper delivers a review of our "Constraint Programming" Massive Open Online Course (MOOC) introduced on edX in January 2023. The course leverages the pedagogical solver MiniCP to provide an engaging educational approach by necessitating the students to implement key functionalities such as search components, global constraints and models. This course is the result of several earlier university courses, all of which utilized MiniCP, providing a rich heritage of practical learning and automated grading system. This review is structured to first explore relevant predecessor courses and works, followed by a detailed exploration of the MOOC’s learning outcomes and structure. Further, it presents a brief overview of the framework enabling student coding and evaluation. Concluding sections offer a comprehensive statistical analysis of the MOOC’s performance, considerations for future advancements, and insightful reflections from this educational endeavor.
Delecluse, A., Derval, G., Michel, L., Schaus, P., & Van Hentenryck, P. (2023). A review of the Constraint Programming MOOC on EdX. Workshop on Teaching Constraint Programming, WTCP 2023, 1(3), 14. https://hdl.handle.net/2078.5/273384 (Original work published 2023)