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基于OBE理念与AI技术融合的“化工文献检索”教学路径探索

Exploring the Teaching Pathway for “Chemical Literature Retrieval” via the Integration of OBE Principles and AI Technology

陶升东¹, 张星宇¹, 侯瑞云²

Education Study / 2026,8(8): 924-930 / 2026-08-19 15 8

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• Information:

  1．湖南城市学院，益阳；
  2．益阳市城市管理和综合执法局，益阳

• Keywords:
  Chemical Literature Retrieval; AI technology; OBE educational philosophy; Engineering practice
  化工文献检索; AI技术; OBE教育理念; 工程实践
• Abstract: With regard to the current issues in the “Chemical Literature Retrieval” course of general undergraduate college, such as lagging teaching content, single teaching evaluation methods, and insufficient students’ practical abilities, this study integrates the Outcome-Based Education (OBE) philosophy with Artificial Intelligence (AI) technology to periodically update and restructure the course’s teaching content, pedagogical approaches, and evaluation mechanisms. A comprehensive curriculum reform plan has been established, encompassing: the construction of an “outcome-oriented, progressively competent” objective system; the development of an “AI-assisted retrieval” teaching content module; the implementation of a student-centered, “project-driven” teaching model; and the establishment of a “multi-dimensional dynamic-process-oriented” teaching evaluation system based on practical data analysis. Through systematic reform and optimization, this course fully leverages artificial intelligence (AI) technologies within the Outcome-Based Education (OBE) framework. Characterized by dynamically updated content and a student-centric pedagogical design, the course actively promotes autonomous learning. It effectively cultivates students’ competencies in literature retrieval, critical analysis, academic presentation, comprehensive synthesis, and problem-solving. Consequently, it significantly bolsters the academic proficiency of chemical engineering undergraduates, thereby laying a solid foundation for the development of high-caliber, application-oriented, and innovative talents in the chemical engineering and technology. 针对当前普通本科院校“化工文献检索”课程中教学内容滞后、教评方法单一、学生实践能力不足等问题，本研究将OBE教育理念融合人工智能（AI）技术，定期更新与重构课程的教学内容、教学方法与评价机制。通过构建“成果导向—能力递进”教学目标体系，开发“AI辅助检索”的教学内容模块，实施以学生为中心的“项目驱动”教学模式，建立基于实践数据分析的“多维动态—过程性”教学评价体系，形成完整的课程改革方案。通过改革优化，该课程充分利用AI技术，融合OBE教育理念，更新及时教学内容，以学生为中心，引导学生主动学习，对培养学生的文献检索分析、表达、综述和解决问题能力有积极作用，从而有助于提升化工类专业学生的学术素养，为培养高素质应用创新型化工人才提供支撑。
• DOI: 10.35534/es.0808161 (registering DOI)
• Cite: 陶升东，张星宇，侯瑞云．基于OBE理念与AI技术融合的“化工文献检索”教学路径探索［J］．教育研讨，2026，8（8）：924-930．