节点文献
大数据时代背景下数据分析类课程教学改革与实践探索
Teaching Reform and Practice Exploration of Data Analysis Courses in the Big Data Era
【摘要】 基于大数据时代背景下,针对传统数据分析与挖掘课程存在的问题,从教学模式、教学内容、实验设计、考核评价机制、课堂形式以及辅导方式、实验平台等方面做了探索与设计。摒弃了传统教学的劣势,加入新的方法,使学生不仅对知识的学习更有侧重点,而且具有解决实际问题的能力。经过三届教学班实践证明,学生的学习兴趣和数据综合运用能力都得到大幅提高,取得了良好的教学效果,达到新型工科人才的培养标准。
【Abstract】 Based on the background of the big data era, in view of the problems existing in the traditional data analysis and mining courses, we explore and design from theaspects of teaching mode, content, experiment design, evaluation mechanism, classroom form, tutoring methods, and experimental platform. Abandoning the disadvantages of traditional teaching and adding new methods, students not only focus more on knowledge learning but also have the ability to solve practical problems. After three sessions of teaching experience, it has been proved that students’ learning interest and comprehensive data application ability have been greatly improved, well-teaching effects have been achieved, and the training standards for new engineering talents have been achieved.
【Key words】 data analysis; date mining; curriculum reform; big data; new engineering; Hadoop; Spark;
- 【文献出处】 高等工程教育研究 ,Research in Higher Education of Engineering , 编辑部邮箱 ,2023年05期
- 【分类号】G642.0;TP311.13;O17-4
- 【下载频次】7