文科类研究生课堂Panel教学模式应用AIGC的策略研究

Research on the Application Strategy of AIGC in Panel Teaching Mode for Liberal Arts Graduate Students

摘要: 本研究旨在探索生成式人工智能(AIGC)技术优化高校文科类研究生课堂Panel教学模式的有效策略，以应对传统模式在深度互动、资源整合与效率提升方面的挑战。通过文献分析、典型案例研究及教学行动研究相结合的方法，重点探讨AIGC如何赋能Panel教学的关键环节，包括议题设计、资料处理、协作研讨与成果评价，构建“教师主导-AIGC辅助”的适应性框架。主要涵盖了文科Panel教学现状分析、AIGC支持下的协作学习模式创新、技术工具的场景化应用路径及教学成效评估。研究可以为文科研究生教育数字化转型提供兼具理论支撑与实践可行性的解决方案，同时关注技术应用的伦理适应性。

Abstract: This study explores effective strategies for optimizing the Panel teaching model in humanities graduate education through Generative Artificial Intelligence (AIGC), addressing challenges in deep interaction, resource integration, and efficiency enhancement of traditional approaches. By combining literature analysis, case studies, and pedagogical action research, it examines how AIGC empowers key components of Panel teaching—including agenda design, data processing, collaborative discussions, and outcome evaluation—establishing an adaptive framework of “teacher-led with AIGC support.” The research covers current analyses of humanities Panel teaching practices, innovative collaborative learning models supported by AIGC, scenario-based application pathways for technological tools, and teaching effectiveness assessments. This study provides both theoretically grounded and practically feasible solutions for the digital transformation of humanities graduate education, while addressing ethical considerations in technology adoption.