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Research on the Use Preference of AI Education Support System

Author(s)

Weicheng Fan1,*, Jiayu Zhang2, Muhan Mao1

Affiliation(s)

1Zhejiang Guangsha Vocational and Technical University of Construction, Jinhua, Zhejiang, China 2Zhejiang Huize Engineering Design Co., LTD, Hangzhou, Zhejiang, China *Corresponding Author

Abstract

This study investigates the key factors influencing students 'adoption of AI-assisted education systems in vocational undergraduate institutions, utilizing preference theory through semi-structured interviews and fuzzy set qualitative comparative analysis. The findings reveal that student preferences are shaped by multiple dimensions including answer quality, response efficiency, psychological safety, communication attitudes, social anxiety, and creativity. Results demonstrate that response efficiency serves as a prerequisite for students' preference for AI teaching assistants, while psychological safety and individual traits (e.g., social anxiety and creativity) mediate these pathways. The study aims to provide theoretical foundations and practical insights for optimizing AI teaching assistant functionalities and advancing human-machine collaborative education models.

Keywords

Preference-Based Usage; Vocational Bachelor's Degree; AI Teaching Assistant; AI Educational Support System

References

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