Research on the Construction Path of a New Ecosystem for AI Literacy Training of Teachers in Agricultural Universities

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Authors: Xiaoting Sun, Shulin Zhao, Cunpeng Wang, Guangjie Lv
Cited by: 0

Abstract

With the penetration of artificial intelligence (AI) technology in the agricultural field and the advancement of the educational digitalization strategy, the AI literacy of teachers in agricultural universities has become a core element supporting agricultural modernization and high-quality talent training. Based on a systematic analysis of the urgency and practical challenges of cultivating agricultural university teachers’ AI literacy, this paper constructs a new cultivation ecosystem featuring “four-dimensional core + five-dimensional support”, including four core training objectives (knowledge, skills, thinking, ethics) and a five-dimensional support system (curriculum, practice, faculty, culture, evaluation), supplemented by implementation guarantees in systems, resources, organizations, and technology. The research aims to provide theoretical reference and practical paths for solving the integration training dilemma of “agricultural science + AI”, help improve teachers’ AI literacy, and cultivate compound talents for rural revitalization and smart agricultural development.

Fields of Study & Subjects

Digital literacy in education Artificial Intelligence in Education Higher Education and Teaching Methods

Publication details

Journal / source
Education Reform and Development
Volume
8
Issue
1
Pages
226–233
Publication date
11 February 2026
Language
EN