本科生培养的课程教育改革实践——以数字图像处理为例

Practical Reform of Undergraduate Curriculum Education—Taking Digital Image Processing as an Example

摘要: 在新工科建设背景下，数字图像处理对培养学生的算法思想、工程能力和创新能力具有十分重要的意义。但目前高校中的数字图像处理课程存在着教学内容陈旧、理论与实际相脱离、教学方法单一、评价方式固化等一系列问题，不能满足社会发展对复合型工程技术人才的要求。文章以建构主义学习理论、布鲁姆教育目标分类学为理论支撑，融合PBL项目式学习、混合式教学等国内外工程教育成熟研究成果，提出一个全面而系统的改革方案：重构三层模块化知识体系、线上线下分层混合式教学、阶梯递进实践实训、全过程多元考核体系旨在克服传统教学中的问题，提高课程的教学质量和学生的整体能力水平，对本科理工科课程的教学改革具有一定的借鉴意义。

Abstract: In the context of building new engineering disciplines, digital image processing plays a very important role in developing students’ algorithmic thinking, engineering skills, and innovation abilities. However, the current digital image processing courses in universities face a series of problems, such as outdated teaching content, a gap between theory and practice, monotonous teaching methods, and rigid evaluation methods, which fail to meet society’s demand for versatile engineering talents. This article, based on constructivist learning theory and Bloom’s taxonomy of educational objectives, and integrating mature domestic and international research results in engineering education like PBL (Project-Based Learning) and blended teaching, proposes a comprehensive and systematic reform plan: restructuring a three-layer modular knowledge system, implementing online-offline layered blended teaching, step-by-step practical training, and a full-process diversified assessment system, aimed at overcoming the issues in traditional teaching, improving course quality, and enhancing students’ overall abilities. It also offers some reference value for the teaching reform of undergraduate science and engineering courses.