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Yiqiu Zhou; Jina Kang – Journal of Learning Analytics, 2023
Collaboration is a complex, multidimensional process; however, details of how multimodal features intersect and mediate group interactions have not been fully unpacked. Characterizing and analyzing the temporal patterns based on multimodal features is a challenging yet important work to advance our understanding of computer-supported collaborative…
Descriptors: Attention Control, Cooperative Learning, Data Analysis, Computer Assisted Instruction
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Khanlari, Ahmad; Zhu, Gaoxia; Scardamalia, Marlene – Journal of Learning Analytics, 2019
Interdisciplinary studies foster integration of ideas across disciplines. The knowledge building pedagogy, with its 12 principles and associated technology, Knowledge ForumĀ®, provides multifaceted support for linking ideas across disciplines and communities. This exploratory study aims to assess the extent to which elementary-school students…
Descriptors: Interdisciplinary Approach, Elementary School Students, Teaching Methods, Knowledge Level
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Pardos, Zachary A.; Horodyskyj, Lev – Journal of Learning Analytics, 2019
We introduce a novel approach to visualizing temporal clickstream behaviour in the context of a degree-satisfying online course, "Habitable Worlds," offered through Arizona State University. The current practice for visualizing behaviour within a digital learning environment is to generate plots based on hand-engineered or coded features…
Descriptors: Visualization, Online Courses, Course Descriptions, Data Analysis