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About
Shuoqi Chen is a rising scholar at the intersection of artificial intelligence and higher education, with a primary research focus on the impact of large language models on student learning and academic integrity. Chen’s most-cited work, “Deep research and analysis of ChatGPT based on multiple testing experiments” (2023), provides one of the earliest systematic evaluations of ChatGPT’s capabilities and limitations through a battery of controlled experiments. This foundational study has garnered 2 citations and is frequently referenced by educators and technologists seeking evidence-based insights into how intelligent chat robots are reshaping college students’ daily learning environments. By rigorously testing ChatGPT across diverse academic tasks, Chen not only highlights the tool’s transformative potential but also critically examines its risks, offering a balanced framework for responsible adoption. The paper’s practical relevance has made it a touchstone for ongoing discussions about AI literacy and pedagogical adaptation. Chen’s work continues to inform policy and curriculum design, positioning them as a key voice in the evolving dialogue between generative AI and educational practice.
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