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Wang, Y., Pan, Y., Yan, M., Su, Z., & Luan, T. H. (2023). A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions. IEEE Open Journal of the Computer Society, 4, 280-302.
https://doi.org/10.1109/ojcs.2023.3300321

has been cited by the following article:

• TITLE: Design-Based Research on AIGC-Based Human-Machine Collaborative Strategy for English Reading

  AUTHORS: Le Ren, Xinyu Gui, Xiaoling Ye

  KEYWORDS: Generative Artificial Intelligence, English Reading, Human-Machine Collaborative Strategy

  JOURNAL NAME: Open Journal of Social Sciences, Vol.13 No.8, August 8, 2025

  ABSTRACT: This study focuses on the difficulties faced by university students in English reading and aims to design a human-machine collaborative strategy based on generative artificial intelligence technology to assist in improving their English reading skills. Using a design-based research approach, the study investigates the main difficulties and strategies in English reading for university students through a literature review. Based on traditional reading strategies and the performance of AIGC tools, the study designs an AIGC-assisted English reading human-machine collaborative strategy and applies it in real teaching practices. Through three rounds of iterative design and modification, a refined AIGC-based English reading human-machine collaborative strategy for university students was developed. A comparison of pre- and post-tests shows that the strategy can significantly improve university students’ English reading levels.