Mate Marote: A flexible automated framework for large-scale educational interventions

被引:13
作者
Lopez-Rosenfeld, Matias [1 ]
Paula Goldin, Andrea [2 ,3 ,4 ]
Lipina, Sebastian [5 ,6 ]
Sigman, Mariano [2 ,3 ,4 ]
Fernandez Slezak, Diego [1 ]
机构
[1] UBA, FCEyN, Dept Comp, Lab Inteligencia Artificial Aplicada, Buenos Aires, DF, Argentina
[2] Consejo Nacl Invest Cient & Tecn, FCEyN UBA, Dept Fis, Lab Neurociencia Integrativa, RA-1033 Buenos Aires, DF, Argentina
[3] Consejo Nacl Invest Cient & Tecn, IFIBA, RA-1033 Buenos Aires, DF, Argentina
[4] Univ Torcuato Tella, Buenos Aires, DF, Argentina
[5] Consejo Nacl Invest Cient & Tecn, Unidad Neurobiol Aplicada, UNA CEMIC, RA-1033 Buenos Aires, DF, Argentina
[6] Univ Nacl San Martin, Buenos Aires, DF, Argentina
关键词
Educational neuroscience; Executive functions; Cognitive training; Children; OLPC; Computer games; WORKING-MEMORY; GAMES;
D O I
10.1016/j.compedu.2013.05.018
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
There is big consensus that computer games may be an effective way of learning and many initiatives are being developed where aspects from cognitive sciences are being applied in the development of these games. In this article, we present Mate Marote, a flexible framework for large-scale educational interventions. Based on the delivery programs of computers to each student in Argentinian schools, we developed an environment that provides activities/games and registers usage statistics. This framework keeps installation up-to-date connecting with a central server as Internet connection is detected, synchronizing new activities, version updates and usage history. As a first testbed intervention, we deployed three games in La Rioja province (Argentina), where OLPC is the official program. These games were focused on training inhibitory control, working memory and planning skills. We found that usage statistics of games replicate previous results found at the laboratory, showing that this platform works as an intervention framework despite its unsupervised nature. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:307 / 313
页数:7
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