Supporting Mastery Learning Through a Multiple-Submission Policy for Assignments in a Purely Online Programming Class

• Main Authors: Ilagan, Joseph Benjamin R., Amurao, Marianne Kayle, Ilagan, Jose Ramon
• Format: text
• Published: Archīum Ateneo 2022
• Subjects: Learning Edge Momentum; Mastery Learning; Online Learning; COVID-19; Python Programming; Multiple Submissions; Transactional Distance; Self-Efficacy; Scaffolding; Computer Sciences; Education; Online and Distance Education
• Online Access: https://archium.ateneo.edu/qmit-faculty-pubs/8; https://archium.ateneo.edu/context/qmit-faculty-pubs/article/1006/viewcontent/IICE2022_61532.pdf
• Institution: Ateneo De Manila University

The Learning Edge Momentum (LEM) theory suggests that once students fall behind, it gets more difficult to catch up with the course material. It then becomes increasingly more difficult to connect new, higher-level concepts to those solid edges of knowledge with mastery of basic concepts. Learning f...