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Research on the Construction Path of First-Class Farmer Entrepreneurship Courses Empowered by Digital Intelligence Technology

Author(s)

Xiaoyun Wu1, Bo Zheng2

Affiliation(s)

1College of Agriculture and Rural Studies, Hainan Open University, Haikou, Hainan, China 2Division of Academic Education, Hainan Open University, Haikou, Hainan, China

Abstract

Against the backdrop of rural revitalization and the rise of digital intelligence, the competency demands for agricultural entrepreneurship talent are undergoing profound changes, placing greater demands on the development of farmer entrepreneurship curricula. However, current curriculum development still faces practical challenges, including ambiguous goal orientation, outdated content systems, rigid teaching models, and inadequate evaluation mechanisms. This study constructs a four-dimensional framework—goal reshaping, content restructuring, model innovation, and evaluation reform—and empirically tests its effectiveness using a mixed-methods approach at Hainan Open University, incorporating questionnaire surveys (N = 909), in-depth interviews (N = 24), and learning analytics. The findings systematically validate three key mechanisms of digital intelligence empowerment: data-driven closed-loop, virtual-real integration, and dynamic resource generation. Following the implementation of this framework, the coverage rate of students’ core entrepreneurial competencies increased from 32% to 82%, and the survival rate of entrepreneurial projects rose from 42% to 68%. This study offers a practical pathway and theoretical reference for agricultural universities seeking to develop first-class curricula in farmer entrepreneurship education.

Keywords

Farmer Entrepreneurship; First-Class Curriculum; Digital Intelligence Technology; New Farmers; Teaching Reform

References

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