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Sichen Lai

Biographic Data

ID4436656
NAMESichen Lai
GIVEN NAMESSichen
FAMILY NAMELai
SIGNATURELAI S
AFFILIATIONSChinese University of Hong Kong
ORCID0009-0002-9436-3816
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS3
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Redefining and measuring student agency in AI-assisted learning: Development and validation of the agentic engagement with AI (AE-AI) scale

    Open Access•Yun Dai, Suya Liu et al.•ARTICLE•Computers & Education•2026

    Student agency has become a central concern in learning with AI. With growing capability and adaptiveness, GenAI tools are no longer merely passive tools but responsive participants in learning. This shift makes agency relational and reciprocal: students exercise agency through intentional engagement with AI, while AI responses shape how students express, adjust, and develop that agency. Existing instruments, however, continue to frame agency as …

  • The impacts and tensions of generative AI on doctoral students’ supervisory and peer dynamics: An activity theory analysis

    Open Access•Sichen Lai, Suya Liu et al.•ARTICLE•Australasian Journal of…•2025

    Doctoral students are increasingly adopting generative artificial intelligence (GenAI) tools in their daily academic activities. However, it remains unclear how GenAI influences doctoral training, particularly in terms of supervisory and peer interactions within PhD programmes. This qualitative study investigated the impact of GenAI adoption on doctoral students’ interactions with supervisors and peers within their immediate academic environments…

  • University policies on generative AI in Asia: Promising Practices, Gaps, and Future Directions

    Open Access•Yun Dai, Sichen Lai et al.•ARTICLE•Journal of Asian Public Policy•2024•Cited by: 3•References: 5

    Considering the opportunities and challenges raised by generative AI (GenAI) technologies, many universities have been developing policies to guide the integration of GenAI in their academic community. Focusing on Asian universities, this paper presents a scoping review of policy development regarding the GenAI integration. Guided by the theoretical framework of technology integration, this study examined the GenAI policies of 30 universities fro…

  • ChatGPT and its impact on research supervision: Insights from Australian postgraduate research students

    Open Access•Yun Dai, Sichen Lai et al.•ARTICLE•Australasian Journal of…•2023

    As artificial intelligence (AI) continues to evolve, its impact on academic environments, especially in postgraduate research supervision, becomes increasingly significant. This study explored the impact of ChatGPT, an advanced AI conversational model, on five dimensions of research supervision: functional, enculturation, critical thinking, emancipation and relationship development. Using a qualitative approach, we examined the practices and pers…

  • University policies on generative AI in Asia: Promising Practices, Gaps, and Future Directions

    Open Access•Yun Dai, Sichen Lai et al.•ARTICLE•Journal of Asian Public Policy•2024•Cited by: 3•References: 5

    Considering the opportunities and challenges raised by generative AI (GenAI) technologies, many universities have been developing policies to guide the integration of GenAI in their academic community. Focusing on Asian universities, this paper presents a scoping review of policy development regarding the GenAI integration. Guided by the theoretical framework of technology integration, this study examined the GenAI policies of 30 universities fro…

  • ChatGPT and its impact on research supervision: Insights from Australian postgraduate research students

    Open Access•Yun Dai, Sichen Lai et al.•ARTICLE•Australasian Journal of…•2023

    As artificial intelligence (AI) continues to evolve, its impact on academic environments, especially in postgraduate research supervision, becomes increasingly significant. This study explored the impact of ChatGPT, an advanced AI conversational model, on five dimensions of research supervision: functional, enculturation, critical thinking, emancipation and relationship development. Using a qualitative approach, we examined the practices and pers…

  • University policies on generative AI in Asia: Promising Practices, Gaps, and Future Directions

    Open Access•Yun Dai, Sichen Lai et al.•ARTICLE•Journal of Asian Public Policy•2024•Cited by: 3•References: 5

    Considering the opportunities and challenges raised by generative AI (GenAI) technologies, many universities have been developing policies to guide the integration of GenAI in their academic community. Focusing on Asian universities, this paper presents a scoping review of policy development regarding the GenAI integration. Guided by the theoretical framework of technology integration, this study examined the GenAI policies of 30 universities fro…

  • The impacts and tensions of generative AI on doctoral students’ supervisory and peer dynamics: An activity theory analysis

    Open Access•Sichen Lai, Suya Liu et al.•ARTICLE•Australasian Journal of…•2025

    Doctoral students are increasingly adopting generative artificial intelligence (GenAI) tools in their daily academic activities. However, it remains unclear how GenAI influences doctoral training, particularly in terms of supervisory and peer interactions within PhD programmes. This qualitative study investigated the impact of GenAI adoption on doctoral students’ interactions with supervisors and peers within their immediate academic environments…

  • Redefining and measuring student agency in AI-assisted learning: Development and validation of the agentic engagement with AI (AE-AI) scale

    Open Access•Yun Dai, Suya Liu et al.•ARTICLE•Computers & Education•2026

    Student agency has become a central concern in learning with AI. With growing capability and adaptiveness, GenAI tools are no longer merely passive tools but responsive participants in learning. This shift makes agency relational and reciprocal: students exercise agency through intentional engagement with AI, while AI responses shape how students express, adjust, and develop that agency. Existing instruments, however, continue to frame agency as …

Artificial Intelligence in Healthcare and Education (3 works) · Computer Science (2 works) · Doctoral Education Challenges and Solutions (2 works) · Engineering (2 works) · Engineering ethics (2 works) · Generative grammar (2 works) · Knowledge management (2 works) · Online Learning and Analytics (2 works) · Political science (2 works) · Academic community (1 works)

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