人工智能赋能职业院校农林类专业教学模式创新的路径研究

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DOI：10.20028/j.zhnydk.2026.07.002

中图分类号：G642 文献标志码：A 文章编号：2096-9902（2026）07-0006-05

Abstract： With the deepening of the rural revitalization strategy and the accelerating transformation of agricultural modernization， new digital and interdisciplinary requirements are being placed on technical and skilled talents in agriculture and forestry. Vocational colleges， as the main battlefield for cultivating agricultural and forestry talents， currently face prominent issues such as the disconnection between their teaching systems and industrial demands， insufficient practical training resources， and an imbalanced faculty structure. The breakthrough development of artificial intelligence technology offers a new path to address these dilemmas. This paper， based on the requirements of the rural revitalization strategy and the trend of digital transformation in vocational education， analyzes the current status and pain points of agricultural and forestry vocational education. By integrating the application practices of artificial intelligence in agricultural and forestry education， it constructs an innovative teaching model empowered by AI across six dimensions： reconstruction of teaching objectives， optimization of curriculum systems， innovation of teaching methods， establishment of practical training platforms， development of faculty teams， and reform of evaluation mechanisms. This aims to provide theoretical reference and practical guidance for vocational colleges to cultivate interdisciplinary agricultural and forestry talents adapted to the needs of rural revitalization， thereby assisting vocational education in better serving the modernization of agriculture and rural areas.

Keywords： rural revitalization; artificial intelligence; vocational colleges; agriculture and forestry majors; teaching model innovation

2025年中央一号文件持续聚焦“三农”工作，明确提出“加快农业数字化转型，大力发展智慧农业，健全涉农职业教育体系”，为职业院校农林类专业改革指明了方向[1]。（剩余7570字）