Research on the Innovation Path of Agricultural Talent Training Model in Higher Vocational Colleges Driven by Digital Intelligence

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Authors: Yanling Zhao, Qing Zhang, Minya Xu, Shengqin Hu, Hui Dong
Cited by: 0

Abstract

With the continuous development of new-generation information technologies such as big data and artificial intelligence, society is accelerating its entry into the digital intelligence era. Under this situation, the agricultural industry has begun to transform and upgrade towards digital intelligence, which puts forward higher requirements for the abilities and literacy of agricultural talents: they are required to have a solid agricultural theoretical foundation and professional skills, as well as certain digital intelligence literacy and capabilities. Based on this, this paper mainly analyzes and studies the significance, problems, and paths of innovating the agricultural talent training model in higher vocational colleges driven by digital intelligence. The aim is to cultivate more new-type agricultural talents adapting to the development of the digital intelligence era to meet the needs of the transformation and upgrading of the modern agricultural industry, and to provide a reference for research and practice in related fields.

Fields of Study & Subjects

Higher Education and Teaching Methods Digitalization and Economic Development in Agriculture Vocational Education and Training

Publication details

Journal / source
International Education Forum
Volume
4
Issue
1
Pages
54–60
Publication date
12 February 2026
Language
EN