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Paradigm and Architecture of Computing Augmented Learning Management System for Computer Science Education
Abstract
Literature suggests that existing learning management systems should be extended to integrate learning activities that aim at enhancing comprehension of students in Computer Science education. Therefore, literature has proposed Computing Augmented Learning Management System (CALMS) that meets the needs of online Computer Science education. However, it's unclear the current state of architecture for the CALMS to assist researchers interrogate and extend its modules for online Computer Science education. Pedagogically to ascertain the thinking direction of current Computer Science educators it's also relevant to understand philosophical stance of learning events from the new idea of CALMS for online computer science education. The review reveals that learning events of the CALMS suggest an adaption of moderate constructivism stance for online Computer Science education. The CALMS incorporate annotations, algorithm or animation visualization and automatic assessment for the purposes of computer science education.
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