大学化学2025，Vol.40Issue(6)：28-36,9.DOI:10.12461/PKU.DXHX202408049
基于深度学习的物理化学课程DOK教学实践初探
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
摘要
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.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Key words
Deep learning/DOK/Physical chemistry/Performance task/Teaching practice分类
社会科学引用本文复制引用
郭畅,杨海朋,方晖,赵英国,李雅婷..基于深度学习的物理化学课程DOK教学实践初探[J].大学化学,2025,40(6):28-36,9.基金项目
安徽省线上线下混合式一流课程(2023xsxx173) （2023xsxx173）
安徽省课程思政示范课(2022kcsz170) （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 （286）
深圳大学教学改革研究项目(000002010901) （000002010901）
