大学化学 >> 2025, Vol. 40 >> Issue (6): 28-36.doi: 10.12461/PKU.DXHX202408049

教学研究与改革 上一篇    下一篇

基于深度学习的物理化学课程DOK教学实践初探——以弯曲液面附加压力和蒸气压教学为例

郭畅1, 杨海朋2, 方晖1, 赵英国1, 李雅婷1   

  1. 1 安庆师范大学化学化工学院, 安徽 安庆 246011;
    2 深圳大学材料学院, 广东 深圳 518060
  • 收稿日期:2024-08-11 录用日期:2024-10-17 发布日期:2025-06-20
  • 通讯作者: 郭畅 E-mail:aqguochang@163.com
  • 基金资助:
    安徽省线上线下混合式一流课程(2023xsxx173)；安徽省课程思政示范课(2022kcsz170)；广东省本科高校教学质量与教学改革工程立项项目(286)高分子材料与工程专业核心课程群虚拟教研室；深圳大学教学改革研究项目(000002010901)

A Preliminary Exploration of DOK Teaching Practice in Physical Chemistry Course Based on Deep Learning: A Case Study on the Additional Pressure and Vapor Pressure of Curved Liquid Surfaces

Chang Guo1, Haipeng Yang2, Hui Fang1, Yingguo Zhao1, Yating Li1   

  1. 1 School of Chemistry and Chemical Engineering, Anqing Normal University, Anqing 246011, Anhui Province, China;
    2 College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, Guangdong Province, China
  • Received:2024-08-11 Accepted:2024-10-17 Published:2025-06-20
  • Contact: GUO Chang E-mail:aqguochang@163.com

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摘要： 为促进学生深度学习，提升物理化学课程教学质量，以表面化学中“弯曲表面的附加压力和蒸气压”的教学为例，从学生实际出发，应用DOK (Depth of Knowledg，知识深度)理论划分教学内容等级，设计不同课堂活动和小组任务，从力和能量两个角度深化逻辑主线，体现学科融合，培养高阶思维。对于教学难点Kelvin方程，以表现性任务体现生活和生产中的实际应用，激发兴趣。以小组讨论话题层层递进，从力对于化学势的影响出发，将Kelvin方程从单组分系统推广到多组分溶液和多组分化学反应系统，体现热力学的多元应用，意义建构。通过课前SPOC (Small Private Online Course，小规模在线课程)任务清单，课上雨课堂翻转讨论，课后公众号展示拓展，开展混合式教学。经过教学实践，结合问卷调查和学生产出，发现基于深度学习的DOK教学，不仅能帮助学生发展各项高阶能力，而且学习主动性和实践创新能力都得到有效提高。

关键词: 深度学习, 知识深度理论, 物理化学, 表现性任务, 教学实践

Abstract: This study aims to enhance deep learning and improve the quality of physical chemistry education by applying the DOK (Depth of Knowledge) theory to categorize teaching content. Using the teaching of “additional pressure and vapor pressure of curved liquid surfaces” in surface chemistry as a case, we design diverse classroom activities and group tasks that promote higher-order thinking. To address the challenging Kelvin equation, we incorporate performance tasks that connect theoretical concepts to real-life applications, sparking student interest. Through a progressive, discussion-based approach in group work, students explore the impact of surface tension on chemical potential and extend the Kelvin equation from single-component systems to multi-component solutions and reactions, illustrating thermodynamic concepts and fostering meaningful understanding. A blended teaching approach was adopted, combining pre-class SPOC (Small Private Online Course) tasks, flipped classroom discussions via Rain Classroom, and post-class expansion through public accounts. Teaching practice, supported by surveys and student outputs, demonstrates that DOK-based deep learning not only enhances higher-order cognitive skills but also significantly improves students' learning initiative and practical innovation abilities.

Key words: Deep learning, DOK, Physical chemistry, Performance task, Teaching practice