工程地质学报2025，Vol.33Issue(6)：2119-2125,7.DOI:10.13544/j.cnki.jeg.2025-0312
生成式AI在土力学教学与自主学习的优势与问题
GENERATIVE AI FOR TEACHING AND SELF-LEARNING IN SOIL ME-CHANICS:ADVANTAGES AND LIMITATIONS
摘要
Abstract
Generative AI has progressively influenced teaching and learning methodologies,fostering innovation in the education sector.Using soil mechanics instruction as a case study,this paper evaluates the pedagogical advantages and limitations of generative AI by analyzing responses from DeepSeek and Gemini through simulated Q&A interactions.The findings indicate that current generative AI demonstrates strong performance in addressing fundamental soil mechanics concepts and solving basic computational problems through formulaic methods.These tools show significant potential for supporting student self-directed learning of core principles.However,constrained by existing technological limitations,generative AI still faces several challenges,including:risks of hallucination;inadequate comprehension of complex soil behaviors;deficiencies in graphical interpretation capabilities;and limited accuracy in solving advanced computational problems.Therefore,in teaching soil mechanics,instructors should prioritize developing students'rational and critical thinking abilities,training them to evaluate AI-generated content rather than accepting it uncritically.Instructional strategies must also emphasize deeper conceptual understanding of complex soil behaviors and strengthen essential computational competencies.关键词
土力学/生成式AI/DeepSeek/GeminiKey words
Soil mechanics/Generative AI/DeepSeek/Gemini分类
社会科学引用本文复制引用
林鸿州..生成式AI在土力学教学与自主学习的优势与问题[J].工程地质学报,2025,33(6):2119-2125,7.基金项目
长安大学2023年教育教学改革研究项目(资助号:BY202340).This research is supported by the Education and Teaching Reform Research Project of Chang'an University in 2023(Grant No.BY202340). （资助号:BY202340）
