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The effect of gestured instruction on the learning of physical causality problems

Bibliographic Data

ID12824951
AuthorsCrystal Carlson (University of Illinois Urbana-Champaign, corresponding author), Steven Jacobs (0000-0002-2704-085X, University of Chicago), Michelle Perry (0000-0003-4422-0454, Northeastern Illinois University), R Breckinridge Church (0000-0002-5657-3428, Northeastern Illinois University)
Year2014
Volume14
Issue1
Pages26-45
Publication date2014-12-31
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueGesture (JOURNAL)
Journal identifiersISSN: 1568-1475 • E-ISSN: 1569-9773
PublisherJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/gest.14.1.02car
OpenAlexW2053687993
LanguageEN
Citations received3
References cited54

Recent research has demonstrated instruction that includes gesture can greatly impact the learning of certain mathematics tasks for children and much of this work relies on face-to-face instruction. We extend the work on this problem by asking how gesture in instruction impacts adult learning from a video production for a science concept. Borrowing from research by Perry and Elder (1997), the research presented here examines what role adding gesture to instruction plays for adults learning about gear movement. In this pretest-instruction-posttest design, 56 college-aged participants were asked to complete problems relating to gear movement. Participants viewed either an instructional video in which an instructor used speech only (control) or speech-plus-gesture (experimental) to explain a fundamental principle in the physics of gear movement. Results showed that adults who knew less actually learned more and that instruction was effective, but significantly more effective when gesture was added. These findings shed light on the role of gesture input in adult learning and carry implications for how gesture may be utilized in asynchronous instruction with adults

Asynchronous communication · Causality (physics · Cognitive psychology · Face (sociological concept · Gesture · Linguistics · Mathematics education · Movement (music · Computer Science · Education and Technology Integration · Hand Gesture Recognition Systems · Hearing Impairment and Communication · Psychology · Artificial Intelligence

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Unique citing works3
Citations per year0,43
Citation span2019 - 2024 (6)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2
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