Analysis of Policy Applications of Artificial Intelligence in Education

Research Article
Open access

Analysis of Policy Applications of Artificial Intelligence in Education

Hao Luo 1 , Yuanze Li 2 , Heqian Yu 3*
  • 1 Beihua University    
  • 2 Beijing No.35 High School    
  • 3 Beijing University-Hong Kong Baptist University United International College    
  • *corresponding author d831200081@alumni.uic.edu.cn
Published on 20 November 2023 | https://doi.org/10.54254/2753-7048/22/20230328
LNEP Vol.22
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-83558-123-0
ISBN (Online): 978-1-83558-124-7

Abstract

Along with the continuous improvement of data processing and application capabilities, artificial intelligence has gradually penetrated into all areas of human production and life, driving human society into the age of artificial intelligence. At present, AI education is the trend of education innovation and development. The rise of artificial intelligence brings hope for the innovation and development of the education field. As an important pillar for the realization of a new country of science and technology and a strong country of talents, the state pays special attention to the requirements for the transformation of high-quality education by artificial intelligence when formulating policies and plans. The birth of artificial intelligence brings more possibilities for the modernization of education, and plays a solid foundation and promotes innovation in the fields of basic education, higher education and vocational education. The purpose of this paper is to analyze the application of the policy of “Artificial Intelligence + Education” in the field of education. It explains the strategic significance of the rise of AI in education, and explores the necessary means to collaboratively manage the risks of AI in education.This study will rationally analyze the AI educational applications and explore targeted risk avoidance strategies to safeguard the deep integration of AI and education.

Keywords:

artificial intelligence, policy analysis, smart education, risk governance

Luo,H.;Li,Y.;Yu,H. (2023). Analysis of Policy Applications of Artificial Intelligence in Education. Lecture Notes in Education Psychology and Public Media,22,295-302.
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References

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[3]. Liu Jin.Comparative Study on Global AI Talent Training Policies: Take China, The United States, The United Kingdom and Canada As An Example[J]. Research trends of domestic higher education teaching, 2020(13):3.

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[6]. Shi Qiuheng,Chang Jingyan.Strategic Characteristics and Institutional Construction of Artificial Intelligence in Enabling High-quality Higher Education[J].Journal of Xi’an Jiaotong University(Social Sciences),2023,(05):01-13.

[7]. Chen Keye,Lin Liang.Artificial Intelligence Enables Vocational Education Reform: Inherent Logic, Realistic Challenges and The Times[J].Education and Career,2023,(08):102-107.

[8]. Li Shijin,Hu Yiling,Gu Xiaoqing.How to Get Out of the Dilemma of Artificial Intelligence Education Risk: Phenomenon, Cause and Response[J].East China Normal University (ECNU),2021.07.003:19-25.

[9]. Wu Hejiang,Tu Yanguo,Tan Lisha.Education Risks and Its Avoidance in the Era of Artificial Intelligence[J]. XDJYJS, 2020 (4) :18-24.

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[15]. Tencent Research Institute.2022. 2022 Blue Book on Artificial Intelligence Education: Current Status, Challenges and Development Recommendations. Available at:https://new.qq.com/ rain/a/20220324A097GB00 (Accessed 29 July 2023).

[16]. ILO.2019. Work for a Brighter Future: Global Commission on the Future of Work. Available at: https://www.ilo.org/wcmsp5/groups/public/---dgreports/---cabinet/documents/publication/wcms_662410.pdf (Accessed 29 July 2023).


Cite this article

Luo,H.;Li,Y.;Yu,H. (2023). Analysis of Policy Applications of Artificial Intelligence in Education. Lecture Notes in Education Psychology and Public Media,22,295-302.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the International Conference on Global Politics and Socio-Humanities

ISBN:978-1-83558-123-0(Print) / 978-1-83558-124-7(Online)
Editor:Enrique Mallen, Javier Cifuentes-Faura
Conference website: https://www.icgpsh.org/
Conference date: 13 October 2023
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.22
ISSN:2753-7048(Print) / 2753-7056(Online)

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References

[1]. K. Kumar and G. S. M. Thakur, “Advanced applications of neural networks and artificial intelligence: A review,” International journal of information technology and computer science, vol. 4, no. 6, pp. 57–68, 2012.View at: Google Scholar.

[2]. Duan Shifei,Gong Guoqian.Artificial Intelligence Education Application Policy in An International Comparative Perspective[J].Modern Educational Technology,2019,29(03):11-17.

[3]. Liu Jin.Comparative Study on Global AI Talent Training Policies: Take China, The United States, The United Kingdom and Canada As An Example[J]. Research trends of domestic higher education teaching, 2020(13):3.

[4]. Liu Ping.Japan’s New Round of AI Development Strategy —— Talent, Research and Development and Social Real Application[J]. Modern Japanese Economy,2020,39(6):40-51.

[5]. Zeng Haijun, Zhang Yu, Miao Miao.Ensuring AI as a Common Good to Promote the Systematic Transformation in Education[J].National Engineering Research Center of Cyberlearning and Intelligent Technology 2022,(08):01-08.

[6]. Shi Qiuheng,Chang Jingyan.Strategic Characteristics and Institutional Construction of Artificial Intelligence in Enabling High-quality Higher Education[J].Journal of Xi’an Jiaotong University(Social Sciences),2023,(05):01-13.

[7]. Chen Keye,Lin Liang.Artificial Intelligence Enables Vocational Education Reform: Inherent Logic, Realistic Challenges and The Times[J].Education and Career,2023,(08):102-107.

[8]. Li Shijin,Hu Yiling,Gu Xiaoqing.How to Get Out of the Dilemma of Artificial Intelligence Education Risk: Phenomenon, Cause and Response[J].East China Normal University (ECNU),2021.07.003:19-25.

[9]. Wu Hejiang,Tu Yanguo,Tan Lisha.Education Risks and Its Avoidance in the Era of Artificial Intelligence[J]. XDJYJS, 2020 (4) :18-24.

[10]. European Union.2018. General Data Protection Regulation).Available at: https://gdpr-info.eu (Accessed 29 July 2023).

[11]. European Union. 2019. Ethics guidelines for trustworthy AI. Available at: https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai (Accessed 29 July 2023).

[12]. IBM, n.d.. IBM Research-Africa. Available at: https://www.research.ibm.com/labs/africa (ccessed 29 July 2023).

[13]. Mavrikis, M. 2015b. ITalk2Learn. Available at: https://www. italk2learn.com (Accessed 29 July 2023).

[14]. SmartMusic, n.d.. SmartMusic. Available at: https://www. smartmusic.com (Accessed 29 July 2023).

[15]. Tencent Research Institute.2022. 2022 Blue Book on Artificial Intelligence Education: Current Status, Challenges and Development Recommendations. Available at:https://new.qq.com/ rain/a/20220324A097GB00 (Accessed 29 July 2023).

[16]. ILO.2019. Work for a Brighter Future: Global Commission on the Future of Work. Available at: https://www.ilo.org/wcmsp5/groups/public/---dgreports/---cabinet/documents/publication/wcms_662410.pdf (Accessed 29 July 2023).