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Revolutionizing Word Clouds for Teaching and Learning With Generative Artificial Intelligence: Cases From China and Singapore

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成果类型:
期刊论文
作者:
Elizabeth Koh;Lishan Zhang;Alwyn Vwen Yen Lee;Hongye Wang
作者机构:
[Elizabeth Koh; Alwyn Vwen Yen Lee] National Institute of Education, Nanyang Technological University, Singapore
[Lishan Zhang; Hongye Wang] Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China
语种:
英文
期刊:
IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES
ISSN:
1939-1382
年:
2024
卷:
17
页码:
1416-1427
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62377017 and 62293551) 10.13039/501100001459-Ministry of Education - Singapore Education Research Funding Programme National Institute of Education, Nanyang Technological University, Singapore (Grant Number: IRB-2019-08-051)
机构署名:
本校为其他机构
摘要:
Generative artificial intelligence (AI) has the potential to revolutionize teaching and learning applications. This article examines the word cloud, a toolkit often used to scaffold teaching and learning for reflection, critical thinking, and content learning. Addressing the issues in traditional word clouds, semantic word clouds have been developed but they are technically challenging to develop and still problematic. However, generative AI has the potential to develop efficient, accurate, creative, and accessible word clouds. Three different ...

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