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Yenduri, G., Ramalingam, M., Chemmalar Selvi, G., Supriya, Y., Srivastava, G., Maddikunta, P.K., Deepti Raj, G., Jhaveri, R.H., Prabadevi, B. and Wang, W. (2023) GPT (Generative Pre-Trained Transformer)—A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions. IEEE Access, 12, 54608-54649.
https://doi.org/10.1109/ACCESS.2024.3389497

has been cited by the following article:

• TITLE: Digital Transformation and Smart Education in China: Current Status and Challenges

  AUTHORS: Xinxiao Zhang

  KEYWORDS: Smart Education in China, Digital Transformation

  JOURNAL NAME: Open Access Library Journal, Vol.12 No.3, March 18, 2025

  ABSTRACT: With China’s significant advancements in integrating high technologies such as artificial intelligence, the Internet of Things, virtual reality, and augmented reality into educational systems in recent years, smart teaching in China has enhanced learning experiences and created more interactive and personalized environments. This study investigates the current state of smart teaching in China, highlighting its progress and challenges. By summarizing the current status and challenges of smart classrooms in China through a literature review, this study proposes corresponding countermeasures. Although China has made great progress in smart teaching, challenges remain, including the need to develop teaching materials that fully leverage these technologies and to adapt curricula to effectively incorporate them. Therefore, educators require training to adopt innovative educational concepts and integrate these technologies as integral components of their teaching strategies. The study underscores the importance of further developing smart teaching to enhance classroom quality and education, emphasizing the need for continued investment in technology and teacher training to create more effective and engaging learning environments, ultimately benefiting students and empowering educators.