The Influence of Generative Artificial Intelligence on High School Students’ Academic Planning – ChatGPT

Research Article
Open access

The Influence of Generative Artificial Intelligence on High School Students’ Academic Planning – ChatGPT

Jialu Guan 1 , Jingying Zhang 2 , Xiule Zhang 3*
  • 1 Xi’an FanYi University    
  • 2 Shenghua Zizhu Academy    
  • 3 Shanghai Baoshan World Foreign Language School    
  • *corresponding author skd990052@sdust.edu.cn
Published on 20 November 2023 | https://doi.org/10.54254/2753-7048/24/20230705
LNEP Vol.24
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-83558-127-8
ISBN (Online): 978-1-83558-128-5

Abstract

The advent of Generative Artificial Intelligence (AI) has ushered in a new era in education, profoundly reshaping the way high school students approach academic planning. The globe has been awed by the AI tool ChatGPT, a language model created by OpenAI, for doing incredibly difficult jobs. Since ChatGPT’s outstanding ability to handle challenging tasks in the field of education appears to change present educational praxis, teachers and students have differing attitudes to this development in AI. Curriculum and content have been customized and adapted based on student needs using machine learning and adaptability, which has increased student uptake and retention. This has enhanced the learning experience for students as a whole. This comprehensive study investigates the multifaced impact of AI, particularly platforms like ChatGPT, on students’ academic trajectories. This review article synthesizes extant literature to offer some potential benefits of ChatGPT in promoting learning and academic planning for high school students. By delving into its influence on course selection, learning methodologies, and academic objectives, this research sheds light on the transformative potential of AI in education and offers recommendations on how ChatGPT could be leveraged to the high school students’ academic planning.

Keywords:

artificial intelligence (AI), artificial intelligence in education (AIED), academic planning, high school students, ChatGPT

Guan,J.;Zhang,J.;Zhang,X. (2023). The Influence of Generative Artificial Intelligence on High School Students’ Academic Planning – ChatGPT. Lecture Notes in Education Psychology and Public Media,24,205-210.
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References

[1]. State Council of the People’s Republic of the China. (2014). The implementation opinions of the State Council on deepening the reform of examination and enrollment system.

[2]. Cairns, L., & Malloch, M. (2017). Computers in education: The impact on schools and classrooms. Life in Schools and Classrooms: Past, Present and Future, 603-617.

[3]. ChatGPT: Optimizing Language Models for Dialogue. Retrieved from https://openai.com/blog/chatgpt/#rf2.

[4]. Mikropoulos, T. A., & Natsis, A. (2011). Educational virtual environments: A ten-year review of empirical research (1999–2009). Computers & education, 56(3), 769-780.

[5]. Kahraman, H. T., Sagiroglu, S., & Colak, I. (2010, October). Development of adaptive and intelligent web-based educational systems. In 2010 4th international conference on application of information and communication technologies, 1-5. IEEE.

[6]. Peredo, R., Canales, A., Menchaca, A., & Peredo, I. (2011). Intelligent Web-based education system for adaptive learning. Expert Systems with Applications, 38(12), 14690-14702.

[7]. Hirsh-Pasek, K., & Blinkoff, E. (2023). ChatGPT: educational friend or foe?. Retrieved from https://www.brookings.edu/articles/chatgpt-educational-friend-or-foe/

[8]. Marcus, G. and Davis, E. (2020) Rebooting ai: Building artificial intelligence we can trust. New York: Vintage Books.

[9]. White. J, Fu Q, Hays S, et al. (2023-02-21). A prompt pattern catalog to enhance prompt engineering with ChatGPT. Retrieved from https://arxiv.org/abs/2302.11382.

[10]. Dowling, M., & Lucey, B. (2023). ChatGPT for (finance) research: The Bananarama conjecture. Finance Research Letters, 53, 103662.

Cite this article

Guan,J.;Zhang,J.;Zhang,X. (2023). The Influence of Generative Artificial Intelligence on High School Students’ Academic Planning – ChatGPT. Lecture Notes in Education Psychology and Public Media,24,205-210.

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：978-1-83558-127-8(Print) / 978-1-83558-128-5(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.24
ISSN：2753-7048(Print) / 2753-7056(Online)

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References

[1]. State Council of the People’s Republic of the China. (2014). The implementation opinions of the State Council on deepening the reform of examination and enrollment system.

[2]. Cairns, L., & Malloch, M. (2017). Computers in education: The impact on schools and classrooms. Life in Schools and Classrooms: Past, Present and Future, 603-617.

[3]. ChatGPT: Optimizing Language Models for Dialogue. Retrieved from https://openai.com/blog/chatgpt/#rf2.

[4]. Mikropoulos, T. A., & Natsis, A. (2011). Educational virtual environments: A ten-year review of empirical research (1999–2009). Computers & education, 56(3), 769-780.

[5]. Kahraman, H. T., Sagiroglu, S., & Colak, I. (2010, October). Development of adaptive and intelligent web-based educational systems. In 2010 4th international conference on application of information and communication technologies, 1-5. IEEE.

[6]. Peredo, R., Canales, A., Menchaca, A., & Peredo, I. (2011). Intelligent Web-based education system for adaptive learning. Expert Systems with Applications, 38(12), 14690-14702.

[7]. Hirsh-Pasek, K., & Blinkoff, E. (2023). ChatGPT: educational friend or foe?. Retrieved from https://www.brookings.edu/articles/chatgpt-educational-friend-or-foe/

[8]. Marcus, G. and Davis, E. (2020) Rebooting ai: Building artificial intelligence we can trust. New York: Vintage Books.

[9]. White. J, Fu Q, Hays S, et al. (2023-02-21). A prompt pattern catalog to enhance prompt engineering with ChatGPT. Retrieved from https://arxiv.org/abs/2302.11382.

[10]. Dowling, M., & Lucey, B. (2023). ChatGPT for (finance) research: The Bananarama conjecture. Finance Research Letters, 53, 103662.

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