The Application of Generative Artificial Intelligence in Education: Potential, Challenges, and Strategies

In the field of education, the application of generative artificial intelligence is gradually becoming a focus. This article explores the potential, challenges, and coping strategies of generative artificial intelligence in education. Firstly, generative artificial intelligence demonstrates enormous potential in education. It can provide personalized teaching assistance and offer customized learning resources to students through intelligent recommendation systems. Meanwhile, it can also simulate complex situations and assist students in practical operations and problem-solving. In addition, generative artificial intelligence can also perform intelligent evaluations, providing teachers with an analysis of students’ learning progress and effectiveness. However, the application of generative artificial intelligence in education also faces many challenges. Firstly, the immaturity of technology may lead to errors or inaccuracies in the generated content, affecting the quality of teaching. Secondly, excessive reliance on artificial intelligence may weaken the role of teachers and students’ ability to learn independently. In addition, data privacy and security issues are also significant challenges that cannot be ignored. To address these challenges, this article proposes the following strategies: firstly, it is necessary to continuously optimize the technology to ensure the accuracy and reliability of the generated content. Secondly, the government should introduce relevant policies to guide and regulate the application of generative artificial intelligence in education. At the same time, the participation of all sectors of society, including parents, teachers, and students, is necessary to jointly supervise and evaluate the effectiveness of artificial intelligence applications in education. Finally, it is necessary to guide and cultivate the public’s correct understanding and reasonable expectations of generative artificial intelligence from a cultural perspective. In summary, the application of generative artificial intelligence in education is both full of potential and faces challenges. Through technological optimization, policy guidance, social participation, and cultural guidance, the rational and healthy development of the educational environment can be promoted.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-31
DOI
https://doi.org/10.1051/shsconf/202420002008/pdf
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
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article

The Application of Generative Artificial Intelligence in Education: Potential, Challenges, and Strategies

Springer Link (Chiba Institute of Technology)
Educational Technology and Pedagogy
article

The Application of Generative Artificial Intelligence in Education: Potential, Challenges, and Strategies

article en

Abstract

In the field of education, the application of generative artificial intelligence is gradually becoming a focus. This article explores the potential, challenges, and coping strategies of generative artificial intelligence in education. Firstly, generative artificial intelligence demonstrates enormous potential in education. It can provide personalized teaching assistance and offer customized learning resources to students through intelligent recommendation systems. Meanwhile, it can also simulate complex situations and assist students in practical operations and problem-solving. In addition, generative artificial intelligence can also perform intelligent evaluations, providing teachers with an analysis of students’ learning progress and effectiveness. However, the application of generative artificial intelligence in education also faces many challenges. Firstly, the immaturity of technology may lead to errors or inaccuracies in the generated content, affecting the quality of teaching. Secondly, excessive reliance on artificial intelligence may weaken the role of teachers and students’ ability to learn independently. In addition, data privacy and security issues are also significant challenges that cannot be ignored. To address these challenges, this article proposes the following strategies: firstly, it is necessary to continuously optimize the technology to ensure the accuracy and reliability of the generated content. Secondly, the government should introduce relevant policies to guide and regulate the application of generative artificial intelligence in education. At the same time, the participation of all sectors of society, including parents, teachers, and students, is necessary to jointly supervise and evaluate the effectiveness of artificial intelligence applications in education. Finally, it is necessary to guide and cultivate the public’s correct understanding and reasonable expectations of generative artificial intelligence from a cultural perspective. In summary, the application of generative artificial intelligence in education is both full of potential and faces challenges. Through technological optimization, policy guidance, social participation, and cultural guidance, the rational and healthy development of the educational environment can be promoted.

Springer Link (Chiba Institute of Technology)
Quality Education
Openalex Percentile: Top 67%
Educational Technology and Pedagogy
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The Application of Generative Artificial Intelligence in Education: Potential, Challenges, and Strategies · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS