CASE-DRIVEN EXPLORATION OF TEACHING REFORM IN THE COURSE “ARTIFICIAL INTELLIGENCE AND ECO-ENVIRONMENT”
Keywords:
Artificial intelligence, Case-driven teaching, Teaching reform, Postgraduate educationAbstract
To address the insufficient integration of artificial intelligence (AI) technologies and the limited practical application of research cases in postgraduate courses within the ecological and environmental field, the course Artificial Intelligence and Eco-Environment developed a case-driven teaching model consisting of four stages: case introduction, data analysis, model construction, and environmental application. By incorporating research-oriented cases, such as machine learning analysis of fluorescence spectral data, the course integrates real environmental datasets and AI algorithms into the teaching process, thereby strengthening postgraduate students’ competencies in environmental data analysis and complex environmental problem-solving. Teaching practice demonstrated that this case-driven approach effectively enhanced students’ research practice capabilities and interdisciplinary innovation skills.References
[1] Jiang Y, Li B. Exploration on the teaching reform measure for machine learning course system of artificial intelligence specialty. Scientific Programming, 2021, 2021(1): 8971588.
[2] Wang X, Wang Z Y, Pan Y R, et al. Problems and Countermeasures of Artificial Intelligence Applications in Water and Environmental Fields in the 21st Century. Bulletin of Chinese Academy of Sciences, 2020, 35(9): 1163–1176.
[3] Han Y. Research on the reform of education and teaching methods in the era of artificial intelligence. 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020). Atlantis Press, 2020: 338-342.
[4] Leng J, Xie C J, Guo S H, et al. Exploration of AI-Empowered Teaching Reform of Basic Chemistry for Pharmaceutical Majors in Higher Vocational Education. Modern Chemical Research, 2025(24): 168–170.
[5] Das S, Anowar S, Chakraborty S. The integration of AI technology into environmental education. Life as basic science: An overview and prospects for the future, 2024, 1: 223-247.
[6] Ping Q, Li Y M, Shi J, et al. Exploration of Teaching Reform in the Course of Biological Wastewater Treatment Integrated with Machine Learning: A Case Study of Environmental Engineering at Tongji University. Environmental Education, 2026(04): 38–41.
[7] Li L, Huang W, Liu B. A research-oriented model for artificial intelligence education: Integrating multidisciplinary approaches to foster innovation and holistic learning. Proceedings of the 2024 7th International Conference on Educational Technology Management. 2024: 480-485.
[8] Yan L, Bian F F, Qu B Y, et al. Collaborative Cultivation Mechanism of Artificial Intelligence Curriculum and Innovation Capability in an Integrated Undergraduate–Postgraduate Education System: Oriented Toward the Automation Discipline. Education Theory and Research, 2025, 1(7).
[9] Wu W L, Li X, Tong Y C, et al. Development of Teaching Cases for Professional Degree Postgraduate Courses in Polymer Science and Engineering. Polymer Bulletin, 2022, 32(12): 66–70.