TY - JOUR
T1 - Guest Editorial
T2 - Precision Education - A New Challenge for AI in Education
AU - Yang, Stephen J.H.
N1 - Publisher Copyright:
© 2021, Educational Technology & Society. All rights reserved.
PY - 2021
Y1 - 2021
N2 - As addressed by Stephen Yang in his ICCE 2019 keynote speech (Yang, 2019), precision education is a new challenge when applying artificial intelligence (AI), machine learning, and learning analytics to improve teaching quality and learning performance. The goal of precision education is to identify at-risk students as early as possible and provide timely intervention on the basis of teaching and learning experiences (Lu et al., 2018). Drawing from this main theme of precision education, this special issue advocates an in-depth dialogue between cold technology and warm humanity, in turn offering greater understanding of precision education. For this special issue, thirteen research papers that specialize in precision education, AI, machine learning, and learning analytics to engage in an in-depth research experiences concerning various applications, methods, pedagogical models, and environments were exchanged to achieve better understanding of the application of AI in education.
AB - As addressed by Stephen Yang in his ICCE 2019 keynote speech (Yang, 2019), precision education is a new challenge when applying artificial intelligence (AI), machine learning, and learning analytics to improve teaching quality and learning performance. The goal of precision education is to identify at-risk students as early as possible and provide timely intervention on the basis of teaching and learning experiences (Lu et al., 2018). Drawing from this main theme of precision education, this special issue advocates an in-depth dialogue between cold technology and warm humanity, in turn offering greater understanding of precision education. For this special issue, thirteen research papers that specialize in precision education, AI, machine learning, and learning analytics to engage in an in-depth research experiences concerning various applications, methods, pedagogical models, and environments were exchanged to achieve better understanding of the application of AI in education.
KW - Artificial intelligence
KW - Human-centered AI
KW - Learning analytics
KW - Precision education
UR - http://www.scopus.com/inward/record.url?scp=85102796177&partnerID=8YFLogxK
M3 - 期刊論文
AN - SCOPUS:85102796177
SN - 1176-3647
VL - 24
SP - 105
EP - 108
JO - Educational Technology and Society
JF - Educational Technology and Society
IS - 1
ER -