Activity theory as tool for analyzing asynchronous learning networks (ALN)

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Abstract

This paper calls on activity theory as tool for analyzing Asynchronous Learning Networks (ALN) to achieve a better understanding of their dynamics. This paper makes some design suggestions for ALN, they are: (1) Provide sufficient training at the beginning; (2) Provide technical support throughout the process; (3) Provide clear guidelines for interaction among students, evaluation criteria for grading, and the deadline for posting to a discussion; (4). Encourage cooperation among students; (5) Designate roles; (6) Provide feedback; (7) Remind students about approaching deadlines; (8) Provide a summary of the discussion at the end. © Springer-Verlag 2004.

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Li, J. Z., & Bratt, S. E. (2004). Activity theory as tool for analyzing asynchronous learning networks (ALN). Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3143, 19–26. https://doi.org/10.1007/978-3-540-27859-7_3

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