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ERIC Number: EJ1125571
Record Type: Journal
Publication Date: 2016-Oct
Pages: 25
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1093-023X
EISSN: N/A
Using Multimodal Learning Analytics to Identify Patterns of Interactions in a Body-Based Mathematics Activity
Smith, Carmen; King, Barbara; Gonzalez, Diana
Journal of Interactive Learning Research, v27 n4 p355-379 Oct 2016
Elementary students' difficulties with angles in geometry are well documented, but we know little about how they conceptualize angles while solving problems and how their thinking changes over time. In this study, we examined 26 third and fourth grade students completing a body-based angle task supported by the Kinect for Windows. We used fine-grained, multimodal data detailing students' actions and language to identify three common patterns of interactions during the task: the explore, dynamic, and static clusters. We found that students with higher learning gains spent significantly more time in the dynamic cluster than students with low learning gains. Implications for mathematics teaching and research using body-based tasks are discussed.
Association for the Advancement of Computing in Education. P.O. Box 1545, Chesapeake, VA 23327. Tel: 757-366-5606; Fax: 703-997-8760; e-mail: info@aace.org; Web site: http://www.aace.org
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Grade 4; Intermediate Grades; Grade 3; Primary Education; Early Childhood Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A