传统与智慧融合的农业认知实践课程教学路径探究——基于“经验–数据–决策”三阶递进与反思性实践

Exploring the Teaching Pathway of the Agricultural Cognitive Practice Course Integrating Traditional and Smart Agriculture—Based on the Three-Stage “Experience-Data-Decision” Progression and Reflective Practice

摘要: 针对农业实践类教学过程传统农业技术与现代农业认知脱节、难以协同育人的现实问题，本文结合农业认知实践课程，探索了传统农业实践与智慧农业认知有机融合的教学路径。课程以“看天上课”的动态调度机制为基础，构建了“经验的数据化验证–数据的经验化解释–经验与数据的协同决策”三个递进层次，并在整个教学过程中融入“行动中反思–人机协同反思–决策后反思”三个反思环节。该模式有效促进了学生从被动执行指令向主动探索的转变，形成了在不确定的生产环境中独立决策的能力。为培养知农爱农、兼具传统技艺与现代素养的复合型农业人才提供了可借鉴模式。

Abstract: To address the problem of disconnection between traditional agricultural techniques and modern smart agricultural cognition in agricultural practice teaching, which limits the effectiveness of collaborative talent cultivation, this paper takes the Agricultural Cognitive Practice course as an example to explore a teaching pathway that organically integrates traditional agricultural practice with smart agricultural cognition. Based on a dynamic scheduling mechanism of “classes arranged according to weather conditions”, the course constructs three progressive levels: “data-based validation of experience, experience-based interpretation of data, and experience-data collaborative decision-making”. Three reflective components are integrated throughout the teaching process: “reflection-in-action, reflection on human-machine collaboration, and post-decision reflection”. This model effectively promotes students’ transformation from passively following instructions to active exploration and judgment, and helps them develop the ability to make independent decisions in uncertain production environments. It provides a replicable practical paradigm for cultivating compound agricultural talents who value agriculture, understand agriculture, and possess both traditional farming skills and modern technological literacy.