给排水科学与工程专业水处理生物学智慧课程建设
Construction of Intelligent Course in Water Treatment Biology for the Major of Water Supply and Drainage Science and Engineering
摘要: 文章旨在探讨在应用型本科院校给排水科学与工程专业背景下,如何构建和实施水处理生物学智慧课程。通过分析现有水处理生物学教学中存在的问题,借鉴智慧教育理念及人工智能、物联网等技术在课程建设中的应用经验,提出涵盖课程内容、教学方法及评价体系等方面的智慧课程改革方案,以提升学生创新思维及工程实践能力,以适应环保行业对高素质人才的需求。
Abstract: This article aims to explore how to construct and implement a smart course on water treatment biology in the context of water supply and drainage science and engineering majors in applied undergraduate colleges. By analyzing the existing problems in the teaching of water treatment biology, drawing on the concept of smart education and the application experience of technologies such as artificial intelligence and the Internet of Things in curriculum construction, a smart curriculum reform plan covering course content, teaching methods, and evaluation systems is proposed to enhance students’ innovative thinking and engineering practice abilities, in order to meet the demand for high-quality talents in the environmental protection industry.
参考文献
|
[1]
|
祝智庭, 彭红超, 雷云鹤. 智能教育: 智慧教育的实践路径[J]. 开放教育研究, 2018, 24(4): 13-24, 42.
|
|
[2]
|
李冬梅, 李斌, 蒋树贤, 等. OBE理念在省属高校给排水科学与工程专业人才培养中的应用与思考[J]. 中国现代教育装备, 2022(17): 69-71+80.
|
|
[3]
|
李倩, 王高骏, 任勇翔. “给排水科学与工程概论”翻转课堂实践研究[J]. 教育教学论坛, 2022(12): 59-62.
|
|
[4]
|
张科, 程金芝, 牟荣. 基于学习通AI助教的早临床教学模式在人体寄生虫学教学改革中的构建与实践[J]. 贵州医科大学学报, 2025, 50(10): 1555-1560.
|
|
[5]
|
杨洁. 教育数字化赋能下智慧课堂增值评价体系研究[J]. 现代商贸工业, 2025(22): 47-49.
|
|
[6]
|
卢俊杰, 徐光涛. 从柏拉图系统到ChatGPT: 智能导师系统的演进路向[J]. 杭州师范大学学报(自然科学版), 2025, 24(5): 516-522+543.
|