Dissertation/Thesis Abstract

Elicited Gestures: An Embodied Instructional Design to Support the Understanding of Quantitative Patterns of Complex Systems
by Lotero, Luis Alejandro Andrade, Ph.D., Indiana University, 2018, 204; 10931301
Abstract (Summary)

My dissertation explores how elicited gestures can support 6th grade students’ understanding of nonlinear dynamics of complex systems. My hypothesis is that elicited gestures make these patterns salient to the student, who learns about these quantitative dynamics via embodied mechanisms. To elicit these gestures, I designed a computer simulation called the Embodied Simulation of Population Dynamics (ESPD). The ESPD elicits bimanual gestures to represent nonlinear changes between two quantities. I explore how the learning from elicited gestures can take place at three different granularity levels. First, I compare the ESPD versus a non-embodied instructional intervention. This comparison tests whether physical movement has an effect on learning. Second, having compared individual learning, I examine the effect elicited gestures have in the way a group of students build situated meaning of graphical representations. Third, I explore a measurement model of students’ enacted movements using the ESPD log data. With the log data, I measure the student ability to enact the elicited gestures. Results show (1) statistically significant higher learning gains for students in the ESPD condition; (2) students in the ESPD condition spontaneously used more complex, action-laden gestures to convey their understanding of the quantitative dynamics; and (3) the ability to enact the elicited movement predicts learning gains. Findings from this dissertation will be useful to researchers, teachers, and designers who want to include elicited gestures as part of their instructional approach with early middle school students.

Indexing (document details)
Advisor: Danish, Joshua A., Delandshere, Ginette
Commitee: Hmelo-Silver, Cindy, Lester, Jessica N.
School: Indiana University
Department: School of Education
School Location: United States -- Indiana
Source: DAI-A 80/01(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Educational tests & measurements, Educational technology, Science education
Keywords: Complex systems thinking, Embodied cognition, Graphing skills, Learning analytics, Sensing technologies
Publication Number: 10931301
ISBN: 9780438340312
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