2014
DOI: 10.1007/s40593-014-0027-7
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Socio-Cultural Imbalances in AIED Research: Investigations, Implications and Opportunities

Abstract: This paper investigates international representations in the Artificial Intelligence in Education (AIED) research field. Its methodological and theoretical groundings are inspired by Arnett (2008) and Henrich et al. (2010a) who addressed the same issue in psychology, and respectively a) discovered massive imbalances in representation in top-tier psychology journals, and b) clarified risks of this situation. Data on research production collected on 2 top-tiers AIED conferences indicate that relatively similar i… Show more

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Cited by 33 publications
(14 citation statements)
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“…Such evidence on the efficacy of ITS as a mode of learning has thus far not been comprehensively validated in developing country contexts. The large majority of ITS development, deployment, and related research has taken place in the developed world, specifically in countries that are Western, educated, industrialized, rich, and democratic (Blanchard, 2014;Nye, 2014). In Asia, most ITS-related research since the 1990s has been carried out in developed countries, such as Hong Kong, Japan, Singapore, South Korea, and Taiwan (Cha et al, 2006;Cheung, Hui, Zhang, & Yiu, 2003;Hwang, 2003;Liang & Xu, 2013), although some homegrown ITS in developing countries have more recently been documented (Kazi, Haddawy, & Suebnukarn, 2012;Ting & Phon-Amnuaisuk, 2012).…”
Section: Intelligent Tutoring Systemsmentioning
confidence: 99%
“…Such evidence on the efficacy of ITS as a mode of learning has thus far not been comprehensively validated in developing country contexts. The large majority of ITS development, deployment, and related research has taken place in the developed world, specifically in countries that are Western, educated, industrialized, rich, and democratic (Blanchard, 2014;Nye, 2014). In Asia, most ITS-related research since the 1990s has been carried out in developed countries, such as Hong Kong, Japan, Singapore, South Korea, and Taiwan (Cha et al, 2006;Cheung, Hui, Zhang, & Yiu, 2003;Hwang, 2003;Liang & Xu, 2013), although some homegrown ITS in developing countries have more recently been documented (Kazi, Haddawy, & Suebnukarn, 2012;Ting & Phon-Amnuaisuk, 2012).…”
Section: Intelligent Tutoring Systemsmentioning
confidence: 99%
“…Thus, when AIEd favors certain pedagogies, learning styles, and educational systems, it ultimately dis/advantages certain students and their communities. Finally, implicit and explicit biases in AIEd development also reflect the slanted demographics of its researchers—their own backgrounds and assumptions about education are already shaping AIEd (Blanchard 2015 ).…”
Section: Possible Futures For Aiedmentioning
confidence: 99%
“…Yet according to a recent literature review most current research about AI in learning is from computer science and seems to neglect both pedagogy and ethics (Zawacki-Richter et al, 2019). Research on AIEd has also been recognised to have a WEIRD (western, educated, industrialized, rich and democratic) bias for some time (Blanchard, 2015).…”
Section: Introductionmentioning
confidence: 99%