Intelligent Construction of Environmental Science Course with AI: Enhancing Teaching and Learning
DOI: https://doi.org/10.62381/H251104
Author(s)
Zhu Chao*, An Dan, Li Chengtao
Affiliation(s)
School of Environmental Science & Engineering. Shaanxi University of Science and Technology, Xi'an 710021, China
*Corresponding Author
Abstract
This study delves into the intelligent construction of the "Introduction to Environmental Science" curriculum by leveraging AI technology and tools. Integrating cognitive theory, it endeavors to achieve differentiated teaching and assessment, thereby elevating the quality of teaching and learning. the paper elucidates the current application status of AI in environmental science education, its integration with cognitive theory, and the implementation of differentiated instructional strategies. A quantitative comparison predicting the enhancement of students' key competencies is presented. Moreover, data - driven evidence and practical cases are discussed, offering valuable insights for educational reform.
Keywords
AI technology; Environmental Science Education; Cognitive Theory; Differentiated Teaching; Student Ability Improvement
References
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