Enhancing the Affordances of a Tangible Learning Environment through Prompts Delivered through a Teachable Robotic Agent

abstract: For this master's thesis, a unique set of cognitive prompts, designed to be delivered through a teachable robotic agent, were developed for students using Tangible Activities for Geometry (TAG), a tangible learning environment developed at Arizona State University. The purpose of thes...

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Other Authors: Thomas, Elissa (Author)
Format: Dissertation
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/2286/R.I.25187
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spelling ndltd-asu.edu-item-251872018-06-22T03:05:15Z Enhancing the Affordances of a Tangible Learning Environment through Prompts Delivered through a Teachable Robotic Agent abstract: For this master's thesis, a unique set of cognitive prompts, designed to be delivered through a teachable robotic agent, were developed for students using Tangible Activities for Geometry (TAG), a tangible learning environment developed at Arizona State University. The purpose of these prompts is to enhance the affordances of the tangible learning environment and help researchers to better understand how we can design tangible learning environments to best support student learning. Specifically, the prompts explicitly encourage users to make use of their physical environment by asking students to perform a number of gestures and behaviors while prompting students about domain-specific knowledge. To test the effectiveness of these prompts that combine elements of cognition and physical movements, the performance and behavior of students who encounter these prompts while using TAG will be compared against the performance and behavior of students who encounter a more traditional set of cognitive prompts that would typically be used within a virtual learning environment. Following this study, data was analyzed using a novel modeling and analysis tool that combines enhanced log annotation using video and user model generation functionalities to highlight trends amongst students. Dissertation/Thesis Thomas, Elissa (Author) Burleson, Winslow (Advisor) Muldner, Katarzyna (Committee member) Walker, Erin (Committee member) Glenberg, Arthur (Committee member) Arizona State University (Publisher) Computer science Educational technology embodiment geometry prompts tangible learning environment teachable agent eng 64 pages M.S. Computer Science 2014 Masters Thesis http://hdl.handle.net/2286/R.I.25187 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2014
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Computer science
Educational technology
embodiment
geometry
prompts
tangible learning environment
teachable agent
spellingShingle Computer science
Educational technology
embodiment
geometry
prompts
tangible learning environment
teachable agent
Enhancing the Affordances of a Tangible Learning Environment through Prompts Delivered through a Teachable Robotic Agent
description abstract: For this master's thesis, a unique set of cognitive prompts, designed to be delivered through a teachable robotic agent, were developed for students using Tangible Activities for Geometry (TAG), a tangible learning environment developed at Arizona State University. The purpose of these prompts is to enhance the affordances of the tangible learning environment and help researchers to better understand how we can design tangible learning environments to best support student learning. Specifically, the prompts explicitly encourage users to make use of their physical environment by asking students to perform a number of gestures and behaviors while prompting students about domain-specific knowledge. To test the effectiveness of these prompts that combine elements of cognition and physical movements, the performance and behavior of students who encounter these prompts while using TAG will be compared against the performance and behavior of students who encounter a more traditional set of cognitive prompts that would typically be used within a virtual learning environment. Following this study, data was analyzed using a novel modeling and analysis tool that combines enhanced log annotation using video and user model generation functionalities to highlight trends amongst students. === Dissertation/Thesis === M.S. Computer Science 2014
author2 Thomas, Elissa (Author)
author_facet Thomas, Elissa (Author)
title Enhancing the Affordances of a Tangible Learning Environment through Prompts Delivered through a Teachable Robotic Agent
title_short Enhancing the Affordances of a Tangible Learning Environment through Prompts Delivered through a Teachable Robotic Agent
title_full Enhancing the Affordances of a Tangible Learning Environment through Prompts Delivered through a Teachable Robotic Agent
title_fullStr Enhancing the Affordances of a Tangible Learning Environment through Prompts Delivered through a Teachable Robotic Agent
title_full_unstemmed Enhancing the Affordances of a Tangible Learning Environment through Prompts Delivered through a Teachable Robotic Agent
title_sort enhancing the affordances of a tangible learning environment through prompts delivered through a teachable robotic agent
publishDate 2014
url http://hdl.handle.net/2286/R.I.25187
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