人工智能赋能的《农田水利规划与设计》研究生课程教学改革

Teaching Reform of Graduate Course “Farmland Water Conservancy Planning and Design” Empowered by Artificial Intelligence

摘要: 在“人工智能 + 教育”的国家战略背景下，河北地质大学《农田水利规划与设计》研究生课程目前存在知识滞后、能力培养单一、跨学科整合不足等问题，难以满足智慧农业和水利建设的行业需求，亟需教学改革。以人工智能赋能《农田水利规划与设计》课程教学，深入剖析技术融入课程体系、平衡个性化与规模化教学、跨学科整合等关键问题，并提出针对性的系列改革措施。通过教学改革打造“AI + 研究生教育”创新教学模式，推动课程从理论传授向能力培养转型，为土地资源管理和资源与环境硕士研究生培养复合型创新型高级人才提供支持，也为同类高校相关课程建设提供示范与参考。

Abstract: In the context of the national “Artificial Intelligence + Education” strategy, the graduate course “Farmland Water Conservancy Planning and Design” at Hebei University of Geosciences faces several challenges, including outdated knowledge content, a narrow focus in competency development, and insufficient interdisciplinary integration. These limitations hinder the course’s ability to meet current industry demands for smart agriculture and water infrastructure development, underscoring the urgent need for pedagogical reform. This study explores the integration of artificial intelligence into the teaching framework of the course, with a focus on key issues such as embedding AI technologies into the curriculum, balancing personalized and large-scale instruction, and fostering interdisciplinary collaboration. A set of targeted reform measures is proposed to address these challenges. Through these reforms, an innovative AI-integrated teaching model for graduate education is being developed, aimed at shifting the course orientation from theory-centered instruction toward competency-based education. This initiative supports the cultivation of interdisciplinary, innovative, and high-level talents in Land Resource Management and Resource and Environment disciplines at the master’s level. It also provides a reference and exemplary model for the development of similar courses in other institutions.