An Analysis of Student Belief and Behavior in Learning by Explaining to a Digital Doppelganger (bibtex)
by Ning Wang, Ari Shapiro, Andrew Feng, Cindy Zhuang, David Schwartz, Stephen L. Goldberg
Abstract:
Digital doppelgangers are virtual humans that highly resemble the real self but behave independently. Using a low-cost and high-speed computer graphics and character animation technology, we created digital doppelgangers of students and placed them in a learning-byexplaining task where they interacted with digital doppelgangers of themselves. We investigate the research question of how does increasing the similarity of the physical appearance between the agent and the student impact learning. This paper discusses the design and evaluation of a digital doppelganger as a virtual human listener in a learning-by-explaining paradigm. It presents an analysis of how students’ perceptions of the resemblance impact their learning experience and outcomes. The analysis and results offer insight into the promise and limitation of the application of this novel technology to pedagogical agents research.
Reference:
An Analysis of Student Belief and Behavior in Learning by Explaining to a Digital Doppelganger (Ning Wang, Ari Shapiro, Andrew Feng, Cindy Zhuang, David Schwartz, Stephen L. Goldberg), In Proceedings of the AIED Workshop on Personalized Approaches in Learning Environments (PALE), Springer International Publishing, volume 10858, 2018.
Bibtex Entry:
@inproceedings{wang_analysis_2018,
	address = {Cham, Switzerland},
	title = {An {Analysis} of {Student} {Belief} and {Behavior} in {Learning} by {Explaining} to a {Digital} {Doppelganger}},
	volume = {10858},
	isbn = {978-3-319-91463-3 978-3-319-91464-0},
	url = {http://ceur-ws.org/Vol-2141/paper3.pdf},
	abstract = {Digital doppelgangers are virtual humans that highly resemble the real self but behave independently. Using a low-cost and high-speed computer graphics and character animation technology, we created digital doppelgangers of students and placed them in a learning-byexplaining task where they interacted with digital doppelgangers of themselves. We investigate the research question of how does increasing the similarity of the physical appearance between the agent and the student impact learning. This paper discusses the design and evaluation of a digital doppelganger as a virtual human listener in a learning-by-explaining paradigm. It presents an analysis of how students’ perceptions of the resemblance impact their learning experience and outcomes. The analysis and results offer insight into the promise and limitation of the application of this novel technology to pedagogical agents research.},
	booktitle = {Proceedings of the {AIED} {Workshop} on {Personalized} {Approaches} in {Learning} {Environments} ({PALE})},
	publisher = {Springer International Publishing},
	author = {Wang, Ning and Shapiro, Ari and Feng, Andrew and Zhuang, Cindy and Schwartz, David and Goldberg, Stephen L.},
	month = jun,
	year = {2018},
	doi = {10.1007/978-3-319-91464-0_25},
	keywords = {ARL, DoD, Social Simulation, UARC, Virtual Humans},
	pages = {256--264}
}
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