DocumentCode :
2870822
Title :
Hoodies and Barrels: Using a Hide-and-seek Ubiquitous Game to Teach Mathematics
Author :
Arroyo, Ivon ; Zualkernan, Imran A. ; Woolf, Beverly P.
Author_Institution :
Dept. of Comput. Sci., Univ. of Massachusetts, Amherst, MA, USA
fYear :
2011
fDate :
6-8 July 2011
Firstpage :
295
Lastpage :
299
Abstract :
Many children\´s games have a universal, cross-cultural appeal and have been played for hundreds of years, suggesting a developmental need for them. This paper presents a framework for leveraging this appeal and longevity by developing cognitive games based on popular playground games. This framework employs technology to maintain the physicality and embodied components of the game. The Prête-à-apprendre (PAP+) toolkit is used to develop an e-Textiles game for teaching concepts of estimations and number sense in Mathematics. The game consists of "hoodies" and "barrels" that communicate with each other using a low-power wireless network (Zigbee). Each "hoodie" contains an LED display to convey constraints to children while each barrel contains and Radio Frequency Identifier (RFID) reader to identify children. The game can be deployed in structured or unstructured environments. An evaluation of the pedagogical design of the game based on various intrinsic and extrinsic motivation criteria is also presented.
Keywords :
LED displays; Zigbee; cognition; computer games; mathematics computing; radiofrequency identification; textiles; ubiquitous computing; LED display; children game; cognitive game; e-textiles game; embodied component; extrinsic motivation; hide-and-seek ubiquitous game; intrinsic motivation; low power wireless network; mathematics teaching; number sense; pedagogical design; radio frequency identifier reader; unstructured environment; Context; Education; Estimation; Games; Light emitting diodes; Radiofrequency identification; game-based learning; hide; prête-à-apprendre; seek; technology-enhanced learning; ubiquitous learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
Conference_Location :
Athens, GA
ISSN :
2161-3761
Print_ISBN :
978-1-61284-209-7
Electronic_ISBN :
2161-3761
Type :
conf
DOI :
10.1109/ICALT.2011.91
Filename :
5992325
Link To Document :
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