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数智赋能储能材料与器件课程体系建设探索

丛海勇, 刘家旭, 刘培启   

  1. 大连理工大学化工学院, 辽宁 大连 116024
  • 收稿日期:2026-04-15 录用日期:2026-05-25
  • 通讯作者: 刘家旭 E-mail:liujiaxu@dlut.edu.cn Jiaxu Liu
  • 基金资助:
    2025年大连理工大学化工学院本科教学工程入库项目-智慧课程建设专项资助(HG202521,HG202520,HG202516)

Development pathways exploration of AI-empowered energy storage materials and devices course design

Haiyong Cong, Jiaxu Liu, Peiqi Liu   

  1. School of Chemical Engineering, Dalian University of Technology, Dalian 116024, Liaoning Province, China
  • Received:2026-04-15 Accepted:2026-05-25
  • Contact: Jiaxu Liu E-mail:liujiaxu@dlut.edu.cn

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摘要： 随着国家“双碳”战略的深入推进和人工智能技术的迅猛发展，储能产业对高素质复合型人才的需求日益迫切。传统的储能材料与器件课程在教学内容和模式上面临知识更新滞后、理论与实践脱节、学生创新实践能力培养不足等挑战。本文以成果导向教育理念为指导，深度融合人工智能技术，从课程目标、教学内容、教学模式、评价体系及师资建设五个维度，系统构建知识图谱和数智赋能的新型课程体系。通过引入知识图谱、虚拟仿真、大数据分析等智能技术，旨在实现课程内容的动态更新、教学过程的个性化定制、实践环节的虚实结合以及教学评价的精准化，为培养适应未来储能产业发展需求的创新型人才提供有效路径。

关键词: 储能材料与器件, 人工智能, 课程建设, 教学改革, OBE理念

Abstract: With the advancement of China’s “dual carbon” strategy and the rapid development of artificial intelligence technologies, the energy storage industry faces growing demand for high-quality interdisciplinary professionals. Traditional courses on energy storage materials and devices encounter challenges including outdated knowledge systems, disconnection between theory and practice, and inadequate cultivation of students' innovative capabilities. Guided by the Outcome-Based Education (OBE) concept, this study systematically develops a novel curriculum system incorporating knowledge graphs and AI technologies across five dimensions: course objectives, content design, teaching methodologies, evaluation systems, and faculty development. By integrating intelligent technologies such as knowledge mapping, virtual simulation, and big data analytics, the proposed framework enables dynamic content updates, personalized teaching processes, blended virtual-physical practical training, and precise learning assessment, thereby providing an effective approach for cultivating innovative talents to meet the evolving needs of the energy storage industry.

Key words: Energy storage materials and devices, Artificial intelligence, Curriculum development, Teaching reform, Outcome-Based Education (OBE)