Automated analysis and visualization of online learning experiences and engagement
Authors: Park, S., Tai, D.H. and Allen, S.
Pages: 260-275
DOI: 10.1163/9789004702813_011
Abstract:In this chapter, we introduce an innovative approach to analyzing and visualizing online students' learning experiences and engagement using an automated visualization system. As learners progress through an online course, they engage in cognitive learning activities and emotional stimulation while interacting with learning contents, and ultimately accumulate a series of learning experiences as they complete learning tasks throughout the semester. Hence, the analysis of online learning experiences needs to consider not only learners' behavioral interactions within the course but also their cognitive and emotional engagement with learning content and tasks. We have developed an automated system, Course Activity Pulse for Students' Understanding of Learning Ecology (CAPSULE), to efficiently analyze online students' learning experiences and engagement on both the course and individual levels. We also illustrated how the analysis results can be presented in a visual dashboard, allowing course instructors to tailor online teaching strategies, or providing instructional designers with insights to reconsider course design. Specifically, the chapter provides the framework of online learning experience analysis, summaries of previous studies on online learning experience analysis, the design and development of an automated online learning experience analysis and visualization system, and the implications of the system for online learning practice, online course design, and online learning research.
Source: Scopus