Online courses generate extensive data that often goes underutilized by educators. This article emphasizes the potential of leveraging Learning Management System (LMS) data to uncover insights into student learning and engagement. By applying educational data mining techniques aligned with established learning theories, educators can shift from reactive to proactive course design. The Community of Inquiry (CoI) framework and Moore's interaction framework provide theoretical foundations for understanding the essential interactions necessary for meaningful learning experiences. Ultimately, effective data analysis can lead to improved student outcomes and instructional design.
By analyzing this data, Instructional Designers can uncover patterns that influence student success.
This approach is grounded in two foundational theories: the community of inquiry and Moore's interaction framework.
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