大学化学 >> 2026, Vol. 41 >> Issue (1): 188-203.doi: 10.12461/PKU.DXHX202505090

所属专题： 化学实验数字化设计竞赛获奖作品

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数智技术促进科教融合：将“数据驱动制备低成本高效电解水催化剂”研究用于综合化学实验教学

林森, 姜蓉, 卢雪峰, 江国辉, 丁开宁, 张金水, 王心晨   

  1. 能源与环境光催化国家重点实验室, 福州大学化学学院, 福州 350002
  • 收稿日期:2025-05-27 录用日期:2025-11-21 发布日期:2025-12-30
  • 通讯作者: 王心晨 E-mail:xcwang@fzu.edu.cn Xinchen Wang
  • 基金资助:
    福建省本科高校教育教学研究项目(FBJY20240152)

Promoting the Integration of Science and Education through Digital Intelligence Technology: Data-Driven Development of Efficient Water Electrolysis Catalysts in Comprehensive Chemical Experiment Teaching

Sen Lin, Rong Jiang, Xuefeng Lu, Guohui Jiang, Kaining Ding, Jinshui Zhang, Xinchen Wang   

  1. State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou 350002, China
  • Received:2025-05-27 Accepted:2025-11-21 Published:2025-12-30
  • Contact: Xinchen Wang E-mail:xcwang@fzu.edu.cn

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摘要： 本文以“数据驱动制备低成本高效电解水催化剂”科研实验为对象，针对科研实验用于本科及研究生教学存在的过程繁复、周期冗长、设备昂贵等痛点，创新性地融合线上平台、数据驱动、数值模拟、人机互动、虚拟仿真及远程控制自动化装置等数智技术。通过在实验设计、操作实施、数据分析等不同环节精准部署数智手段，充分挖掘科研实验前沿性、实用性、创新性、跨学科及多技能培养优势，将其转化为契合本科及研究生教学需求的综合化学实验。组合数智技术的加持缩短了65%实验周期，使学生能有限的教学学时内体验高水平科研实验的完整过程。学生对数智化实验给予了肯定评价，参与评价的学生均认为数智化改造有助于他们理解实验原理和顺利完成实验。其中，85%认为数智化实验更能激发他们参与的积极性，52%认为有助于他们了解科研实验流程，60%产生了进一步了解和学习数智信息技术的意愿。教学实践表明，该数智化改造方案有效提升了实验教学效率，助力化学专业本硕阶段学生的科研思维构建、综合实验能力一体化培养，为高校化学实验教学改革提供了新思路与实践范例。

关键词: 数智技术, 科教融合, 综合化学实验

Abstract: This study centers on the scientific investigation titled “Data-Driven Preparation of Low-Cost, High-Efficiency Water Electrolysis Catalysts.” To address the challenges of intricate procedures, prolonged cycles, and costly equipment when incorporating such advanced research into undergraduate and postgraduate teaching, we innovatively integrated digital intelligence technologies. These include online platforms, data-driven methodologies, numerical simulations, human-computer interaction, virtual simulations, and remotely controlled automated systems. Through strategic implementation of these smart technologies across experimental design, operation execution, and data analysis phases, we fully harnessed the experiment’s cutting-edge nature, practical applicability, innovative features, interdisciplinary value, and multi-skill training potential, adapting it into a comprehensive chemistry experiment suitable for higher education. The incorporation of digital intelligence technologies reduced the experimental cycle by 65%, enabling students to complete this advanced research experience within limited course hours. Student feedback was overwhelmingly positive: all participants acknowledged the digital-intelligent approach enhanced their understanding of experimental principles and completion; 85% reported increased engagement; 52% gained deeper insight into research processes; and 60% expressed heightened interest in learning digital technologies. This practice demonstrates that digital-intelligent transformation effectively improves teaching efficiency and fosters students’ scientific thinking and experimental competencies, providing a novel approach for reforming chemical experiment education in universities.

Key words: Digital intelligence technology, Integration of science and education, Comprehensive chemistry experiment