Title:
Applying behavioral strategies for student engagement using a robotic educational agent

dc.contributor.author Brown, LaVonda en_US
dc.contributor.author Kerwin, Ryan en_US
dc.contributor.author Howard, Ayanna M. en_US
dc.contributor.corporatename Georgia Institute of Technology. Human-Automation Systems Lab en_US
dc.contributor.corporatename Georgia Institute of Technology. Mobile Robotics Lab en_US
dc.contributor.corporatename Georgia Institute of Technology. Institute for Robotics and Intelligent Machines en_US
dc.date.accessioned 2013-12-03T21:30:56Z
dc.date.available 2013-12-03T21:30:56Z
dc.date.issued 2013-10
dc.description ©2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. en_US
dc.description To be published in the 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Manchester, UK, October 2013. en_US
dc.description.abstract Adaptive learning is an educational method that utilizes computers as an interactive teaching device. Intelligent tutoring systems, or educational agents, use adaptive learning techniques to adapt to each student’s needs and learning styles in order to individualize learning. Effective educational agents should accomplish two essential goals during the learning process – 1) monitor engagement of the student during the interaction and 2) apply behavioral strategies to maintain the student’s attention when engagement decreases. This paper focuses on the second objective of reengaging students using various behavioral strategies through the utilization of a robotic educational agent. Details are provided on the overall system approach and the forms of verbal and nonverbal cues used by the robotic agent. Results derived from 24 students engaging with the robot during a computer-based math test show that, while various forms of behavioral strategies increase test performance, combinations of verbal cues result in a slightly better outcome. en_US
dc.identifier.isbn 978-1-4244-0652-9
dc.identifier.uri http://hdl.handle.net/1853/49757
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers en_US
dc.subject Social robotics en_US
dc.subject Educational agents en_US
dc.subject Engagement en_US
dc.title Applying behavioral strategies for student engagement using a robotic educational agent en_US
dc.type Text
dc.type.genre Proceedings
dc.type.genre Post-print
dspace.entity.type Publication
local.contributor.author Howard, Ayanna M.
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
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relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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