The Use of Large Language Models in Education

被引：0

作者：

Xing, Wanli ^{[1
]}

Nixon, Nia ^{[2
]}

Crossley, Scott ^{[3
]}

Denny, Paul ^{[4
]}

Lan, Andrew ^{[5
]}

Stamper, John ^{[6
]}

Yu, Zhou ^{[7
]}

机构：

[1] Univ Florida, Gainesville, FL 32611 USA

[2] UC Irvine, Irvine, CA USA

[3] Vanderbilt Univ, Nashville, TN USA

[4] Univ Auckland, Auckland, New Zealand

[5] Univ Massachusetts Amherst, Amherst, MA USA

[6] Carnegie Mellon Univ, Pittsburgh, PA USA

[7] Columbia Univ, New York, NY USA

来源：

INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION | 2025年

关键词：

D O I：

10.1007/s40593-025-00457-x

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

引用

页码：439 / 443

页数：5

共 22 条

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[3] Brown TB, 2020, ADV NEUR IN, V33
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[J]. IEEE ACCESS, 2021, 9 : 108190 - 108198
[8] Henkel O., 2024, International journal of artificial intelligence in education, P1
[9] Natural Language Generation Using Deep Learning to Support MOOC Learners
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[J]. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 2021, 31 (02) : 186 - 214
[10] How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
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[J]. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 2024, : 482 - 508

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