人工智能赋能科技论文写作课程思政教育——发展脉络、研究图景与未来展望

AI-Empowered Curriculum Ideology and Politics Education in Scientific Paper Writing Courses—Development Trajectory, Research Landscape, and Future Prospects

摘要: 人工智能技术与课程思政的深度融合已成为高校教育改革的重要方向，在科技论文写作课程中也展现出了巨大的育人潜力。本文基于2019~2026年间40篇代表性文献，采用系统性文献综述方法，对该领域的发展脉络、研究主题、实践成效及现实挑战进行了全面梳理。研究发现，该领域经历了政策驱动的初步探索期(2019~2022)、AI技术介入的融合发展期(2023~2024)和生成式AI驱动的范式重构期(2025~2026)三个阶段；研究主题聚类为教学模式改革、思政元素挖掘与案例库构建、AI赋能写作工具、学术诚信与伦理教育、教师数字素养与评价改革、思政教育智能体与精准思政六大核心议题。实践案例表明，AI赋能提升了教学效果，但工具理性与价值理性的张力、技术融合深度不足、教师数字素养滞后等挑战依然突出。未来应着力构建人机协同教学新范式、推进专业化思政教育智能体建设、完善伦理规范与治理机制。

Abstract: The deep integration of artificial intelligence (AI) technology with curriculum ideology and politics education has become a crucial direction for higher education reform, particularly demonstrating significant educational potential in Scientific Paper Writing courses. Based on a literature review of 40 publications from 2019 to 2026, this study examines the development trajectory, research themes, practical outcomes, and existing challenges. The findings reveal that the field has undergone three distinct stages: a policy-driven initial exploration period (2019~2022), a technology-integrated development period (2023~2024), and a generative AI-driven paradigm restructuring period (2025~2026). The research themes are clustered into six topics: teaching model reform, mining of ideological and political elements and case library construction, AI-empowered writing tools, academic integrity and ethics education, teacher digital literacy and evaluation reform, and AI agents for ideological and political education and precision ideological and political work. Practical cases demonstrate that AI empowerment has enhanced teaching effectiveness; however, challenges such as the tension between instrumental and value rationality, insufficient depth of technology integration, and lagging teacher digital literacy remain prominent. Future efforts should focus on constructing a new paradigm of human-machine collaborative teaching, promoting the development of specialized AI agents for ideological and political education, and improving ethical norms and governance mechanisms.