Author(s)

Hengyan Ding ¹

Affiliation(s)

¹ Office of Student Affairs, Beijing International Studies University, Beijing, China

Corresponding Author

Hengyan Ding

ABSTRACT

Recent surveys indicate that over 80% of universities report inefficiencies in student services, including delayed responses and resource misallocation (EDUCAUSE, 2023; OECD, 2022). While large language models (LLMs) offer transformative potential, existing implementations frequently lack institution-specific adaptation and systemic integration. This study proposes a conceptual framework for LLM-driven institution-specific virtual personas to shift student services from passive response to proactive support. Integrating Service-Dominant Logic and learning analytics, the framework features: (1) dual-functional agents for transactional support and learning development; (2) dynamic profiling via multi-source data fusion; (3) cross-cultural adaptation mechanisms. Validated through Beijing International Studies University's implementation of "Tangxin Q&A" and "Haitang Youth", the framework enhances service efficiency while redefining student-centered service paradigms—highlighting critical avenues for affective computing, scalability, and ethical governance.

KEYWORDS

large language models (LLMs); institution-specific virtual persona; intelligent student services; conceptual framework; digitalization in higher education

CITE THIS PAPER

Hengyan Ding, AI-Powered Institution-Specific Virtual Personas: A Conceptual Framework for Proactive Student Services in Higher Education. Adult and Higher Education (2025) Vol. 7: 14-20. DOI: http://dx.doi.org/10.23977/aduhe.2025.070503.

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Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education