大学化学 >> 2026, Vol. 41 >> Issue (9): 355-365.doi: 10.12461/PKU.DXHX202509051

化学实验 上一篇    下一篇

物理化学实验报告智能评分系统的设计及其在教学中的应用

邵松雪1, 张钊源2, 沈海云1, 邱丽娟1, 于曦1, 朱莉娜1   

  1. 1 天津大学理学院化学系, 化学化工国家级实验教学示范中心, 天津 300354;
    2 天津语研科技有限公司, 天津 300354
  • 收稿日期:2025-09-10 录用日期:2025-11-17 发布日期:2026-09-01
  • 通讯作者: 朱莉娜, 于曦 E-mail:linazhu@tju.edu.cn;xi.yu@tju.edu.cn Lina Zhu, Xi Yu
  • 基金资助:
    天津大学实验室建设与管理改革项目(LAB2025-07)；产学合作协同育人项目(2502244815)

Design of an intelligent scoring system for physical chemistry experiment reports and its application in teaching

Songxue Shao1, Zhaoyuan Zhang2, Haiyun Shen1, Lijuan Qiu1, Xi Yu1, Lina Zhu1   

  1. 1 National Demonstration Center for Experimental Chemistry and Chemical Engineering Education, Department of Chemistry, College of Science, Tianjin University, Tianjin 300354, China;
    2 Tianjin Yuyan Technology Co., Ltd., Tianjin 300354, China
  • Received:2025-09-10 Accepted:2025-11-17 Published:2026-09-01
  • Contact: Lina Zhu, Xi Yu E-mail:linazhu@tju.edu.cn;xi.yu@tju.edu.cn

PDF

141

赞

摘要： 在智慧教育和AI赋能教学的背景下，本研究设计了物理化学实验报告智能评分系统并将其应用于教学实践。该系统能够实现对学生实验报告的智能读取和自动评分，并给出学情分析反馈。经过两个学期的教学实践，验证了该系统不仅极大提高了物理化学实验报告的评分效率，缩短了教学反馈时间，且其评分具有较高的客观性和准确性。本文介绍了智能评分系统的设计原则、架构和在实际教学中的应用情况，并对该系统进行了评价与展望，为人工智能在高等教育教学，特别是理工科实验教学中的深度应用提供有益参考。

关键词: 物理化学实验, 人工智能技术, 实验报告智能评分系统, 智慧教育

Abstract: In the context of smart education and AI-enhanced teaching, this study developed an intelligent scoring system for physical chemistry experiment reports and implemented it in teaching practice. The system enables automated evaluation and intelligent analysis of student reports while providing learning analytics feedback. Through two semesters of practical application, the system has demonstrated significant improvements in grading efficiency, reduced feedback turnaround time, and maintained high levels of objectivity and accuracy in assessment. This paper details the system's design principles, architecture, and practical implementation, along with an evaluation of its performance and future prospects. The findings offer valuable insights for applying artificial intelligence in higher education, particularly in STEM experimental instruction.

Key words: Physical chemistry experiment, Artificial intelligence technology, Intelligent scoring system for experiment reports, Smart education