Integration of turfgrass irrigation and drainage engineering into agricultural science university course using artificial intelligence

Advances in the field of agricultural science have given rise to the need for a new set of teaching requirements within university courses to include turfgrass science. Traditionally, university courses in this field were based on textbook theoretical knowledge, with little practical work and a relatively low extent of personalized training. In this context, artificial intelligence has become an effective tool for assisting in updating courses, providing more avenues and effectiveness for the development of course construction. The outcome based education (OBE) teaching philosophy is an outcome-based education system characterized by goal-oriented learning and personalized cultivation. To cultivate high-quality composite turf science practitioners, we integrated artificial intelligence and OBE educational concepts into the teaching of turfgrass irrigation and drainage engineering. By building a knowledge graph and database based on artificial intelligence technology, creating a learning platform, promoting multimodal learning and intelligent evaluation of learning situations, and recommending personalized learning paths for OBE education concepts, this study aimed to achieve a higher learning efficiency and promote an differentiated training and assessment among students. The integration and application of artificial intelligence and OBE concepts has been shown to effectively stimulate learning and motivation of students, as well as improve teaching quality. The design and practice of this teaching reform also provides a useful experience for domestic universities to conduct research on the teaching of turfgrass science.