Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT

Lingfei Luan, Xi Lin, Wenbiao Li
2/3/2023
cs.CYcs.CLcs.HC

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Abstract

The emergence of artificial intelligence has incited a paradigm shift across the spectrum of human endeavors, with ChatGPT serving as a catalyst for the transformation of various established domains, including but not limited to education, journalism, security, and ethics. In the post-pandemic era, the widespread adoption of remote work has prompted the educational sector to reassess conventional pedagogical methods. This paper is to scrutinize the underlying psychological principles of ChatGPT, delve into the factors that captivate user attention, and implicate its ramifications on the future of learning. The ultimate objective of this study is to instigate a scholarly discourse on the interplay between technological advancements in education and the evolution of human learning patterns, raising the question of whether technology is driving human evolution or vice versa.

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Cite this paper

@article{luan2023exploring,
  title  = {Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT},
  author = {Lingfei Luan and Xi Lin and Wenbiao Li},
  year   = {2023},
  eprint = {2302.04818},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2302.04818v1}
}

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