波谱解析》课程依托于化学知识体系，是药学、生药学及中药学等专业本科生的重要基础课程，为天然药物化学、药物化学、药物分析等进阶课程的开展奠定了坚实基础。在数智教育背景下，当前《波谱解析》课程改革的核心任务是改变教学方法、优化教学内容和教学评价手段，将抽象的理论具体化、实践化、智能化，激发学生对《波谱解析》的学习兴趣。本研究对我校药学专业《波谱解析》课程实施了课程内容、教学模式、教学评价与考核等一系列革新举措，融合了数字人、虚拟现实、生成式AI等技术，实现模式跨界的创新实践，旨在重点培养学生灵活运用波谱解析技术深入分析并解决实际问题的能力。结果表明，融合AI、虚拟现实等技术的课程改革实践显著提高了学生对波谱解析知识的掌握程度及实际应用能力，有效提升了教学质量。《波谱解析》课程改革中的创新教学方法与技术应用，如跨学科教学模式和智能化学习应用，可为其他学科及不同教育层次的教学优化提供有益的参考。

The “Spectroscopy Analysis” course is based on the knowledge system of chemistry and is an important foundational course for undergraduate students majoring in pharmacy， pharmacognosy， and Chinese materia medica. It lays a solid foundation for the development of advanced courses such as natural medicine chemistry， medicinal chemistry， and pharmaceutical analysis. Under the background of digital intelligence education， the core task of the current reform of the "Spectroscopy Analysis" course is to change teaching methods， optimize teaching content and evaluation means， make abstract theories concrete， practical and intelligent， and stimulate students' interest in learning "Spectroscopy Analysis". In this study， a series of innovative measures for the course content， teaching mode， teaching evaluation and assessment of " Spectroscopy Analysis" course were implemented for the pharmacy major in our school， integrating innovative practices such as digital humans， virtual reality， and generative AI to achieve cross-border implementation modes. The aim is to focus on cultivating students' ability to flexibly apply spectral analysis technology to deeply analyze and solve practical problems. The research results showed that the integration of AI， virtual reality and other technologies in curriculum reform has significantly improved students' mastery and practical application ability of spectral analysis knowledge， and effectively enhanced the quality of teaching. The innovative teaching methods and technology applications in the curriculum reform of "Spectroscopy Analysis"， such as interdisciplinary teaching models and intelligent learning applications， can provide useful references for the teaching optimization of other subjects and at different educational levels.