The Application of Generative Artificial Intelligence in Education: An Analysis of the 25th International Conference on Artificial Intelligence in Education (AIED 2024)

As an emerging technology, generative artificial intelligence (GenAI) has shown great potential for application in the field of education. Based on the research results of the 2024 AIED conference, this article discusses the current application status, research results, and trend challenges of generative AI in the field of education. Research indicates that generative AI can automatically generate educational content, deliver personalized learning experiences, and establish adaptive learning environments, thereby enhancing teaching efficiency and learning outcomes. However, generative AI also faces challenges such as gender differences, ethical issues, fairness, and academic misconduct. This article emphasizes the importance of the application of generative AI in the field of education, and calls on all parties to work together to promote the healthy and fair development of generative AI, and contribute to building a more efficient and personalized education system.

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Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icaie64856.2025.11158359
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
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article

The Application of Generative Artificial Intelligence in Education: An Analysis of the 25th International Conference on Artificial Intelligence in Education (AIED 2024)

Kaiquan Chen, Zefei Wang
Educational Technology and Pedagogy
article

The Application of Generative Artificial Intelligence in Education: An Analysis of the 25th International Conference on Artificial Intelligence in Education (AIED 2024)

Kaiquan Chen, Zefei Wang
article en

Abstract

As an emerging technology, generative artificial intelligence (GenAI) has shown great potential for application in the field of education. Based on the research results of the 2024 AIED conference, this article discusses the current application status, research results, and trend challenges of generative AI in the field of education. Research indicates that generative AI can automatically generate educational content, deliver personalized learning experiences, and establish adaptive learning environments, thereby enhancing teaching efficiency and learning outcomes. However, generative AI also faces challenges such as gender differences, ethical issues, fairness, and academic misconduct. This article emphasizes the importance of the application of generative AI in the field of education, and calls on all parties to work together to promote the healthy and fair development of generative AI, and contribute to building a more efficient and personalized education system.

Ocean University of China (CN)
Openalex Percentile: Top 86%
Educational Technology and Pedagogy
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