TY - CHAP
T1 - Artificial Intelligence in Language Education
AU - HUANG, Xinyi
AU - ZOU, Di
AU - CHENG, Gary
PY - 2020
Y1 - 2020
N2 - Artificial intelligence (AI) is defined as “a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations or decisions influencing real or virtual environments” (Organisation for Economic Co-operation and Development, 2019, p.7). It is often used to provide learning analytics, recommendations and diagnosis tools in education, common applications of which for instruction include personalized learning systems, chatbots, and sensors and cameras that can analyse classroom dynamics and student engagement learners (Vincent-Lancrin & van der Vlies, 2020). The algorithmic power of AI can also generate predictive and diagnosis models for precision education, which is effective in visualising students at risk, providing timely intervention, and reducing dropout (Lu et al., 2018). Moreover, AI enhanced assessment can provide algorithm-based decisions and conduct interesting and effective real-time assessments of complex skills and knowledge (Vincent-Lancrin & van der Vlies, 2020). Unique language-related AI include natural language processing, speech recognition and analysis, and pronunciation correction.
AB - Artificial intelligence (AI) is defined as “a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations or decisions influencing real or virtual environments” (Organisation for Economic Co-operation and Development, 2019, p.7). It is often used to provide learning analytics, recommendations and diagnosis tools in education, common applications of which for instruction include personalized learning systems, chatbots, and sensors and cameras that can analyse classroom dynamics and student engagement learners (Vincent-Lancrin & van der Vlies, 2020). The algorithmic power of AI can also generate predictive and diagnosis models for precision education, which is effective in visualising students at risk, providing timely intervention, and reducing dropout (Lu et al., 2018). Moreover, AI enhanced assessment can provide algorithm-based decisions and conduct interesting and effective real-time assessments of complex skills and knowledge (Vincent-Lancrin & van der Vlies, 2020). Unique language-related AI include natural language processing, speech recognition and analysis, and pronunciation correction.
KW - artificial intelligence
KW - language education
KW - personalized learning
KW - chatbots
KW - computer-assisted language learning
M3 - Conference (Extended Abstracts)
SP - 68
EP - 69
BT - Proceedings of International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020)
A2 - CHENG, Gary
A2 - XIE, Haoran
A2 - ZOU, Di
PB - The Education University of Hong Kong
T2 - The International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020)
Y2 - 9 November 2020 through 11 November 2020
ER -