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Using Differential Sequence Mining to Associate Patterns of Interactions in Concept Mapping Activity with Dimensions of Collaborative Process

Abstract Computer supported collaborative learning (CSCL) has made great inroads in classroom teaching marked by the use of tools and technologies to support and enhance collaborative learning. Computer mediated learning environments produce large amounts of data, capturing student interactions, which can be used to analyze students’ learning behaviors (Martinez-Maldonado et al., 2013a). The analysis of the process of collaboration is an active area of research in CSCL. Contributing towards this area, Meier et al. (2007) defined nine dimensions and gave a rating scheme to assess the quality of collaboration. This thesis aims to extract and examine frequent patterns of students’ interactions that characterize strong and weak groups across the above d... (more)
Created Date 2015
Contributor Chaudhry, Rishabh (Author) / Walker, Erin A (Advisor) / Maldonado-Martinez, Roberto (Committee member) / Hsiao, Ihan (Committee member) / Arizona State University (Publisher)
Subject Computer science / Educational technology / Collaborative learning / CSCL / Educational Data Mining / Sequential Pattern Mining
Type Masters Thesis
Extent 75 pages
Language English
Reuse Permissions All Rights Reserved
Note Masters Thesis Computer Science 2015
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis