Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education

Preparing students to collaborate with AI remains a challenging goal. As AI technologies are new to K-12 schools, there is a lack of studies that inform how to design learning when AI is introduced as a collaborative learning agent to classrooms. The present study, therefore, aimed to explore teache...

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Vydáno v:	Education and information technologies Ročník 27; číslo 5; s. 6069 - 6104
Hlavní autoři:	Kim, Jinhee, Lee, Hyunkyung, Cho, Young Hoan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.06.2022 Springer Springer Nature B.V
Témata:	Analysis Artificial Intelligence Collaborative learning Computational linguistics Computer Appl. in Social and Behavioral Sciences Computer Science Computers and Education Cooperation Cooperative Learning Creative Activities Curriculum Design Curriculum Development Education Educational Environment Educational Policy Educational Technology Elementary Secondary Education Error Analysis (Language) Foreign Countries Group work in education Information literacy Information Systems Applications (incl.Internet) Instructional Design Instructional scaffolding Interdisciplinary Approach Language processing Natural language interfaces Performance Based Assessment Problem Solving Teacher Attitudes Teachers Team learning approach in education Technology Uses in Education User Interfaces and Human Computer Interaction South Korea Student-AI collaboration Learning design AI in education Distributed cognition
ISSN:	1360-2357, 1573-7608
On-line přístup:	Získat plný text
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