大数据背景下《数据分析实践》课程教学研究  

Studies on Teaching Reform of Data Analysis Practice Course under the Background of Big Data

作　　者：程静[1] 闫嘉[1] 陈睿[1] 

机构地区：[1]西南大学人工智能学院,重庆

出　　处：《创新教育研究》2021年第3期557-564,共8页Creative Education Studies

摘　　要：“大数据”背景下数据科学专业核心课程的实验教学环节,在培养学生具备较强实践能力和自主学习能力,具备一定的实际问题求解能力以及良好团队协作精神等方面,发挥着举足轻重的作用。本文就西南大学的数据科学与大数据专业下设的核心课程《数据分析实践》进行研究,依次探讨了实验内容体系建设、实验教学方法改革、实验平台构建以及课程评价手段改革等方面,最后采用问卷的方式调查了学生的学习效果。结果显示采用项目驱动、多种教学模式相结合的实践课程的教学方式,能够较好满足数据科学专业培养目标,有利于学生更好地适应未来工作的挑战,培养出具备终生学习、主动学习和协作学习精神的高素质人才。In the context of “big data”, the experiment courses of the data science major will play a very im-portant role in cultivating students to have strong practical ability, independent learning ability, practical problem-solving ability, and good teamwork spirits. This paper studies the core course—Data Analysis Practice in the major of Data Science and Big Data at Southwest University, and the construction of experimental content system and experimental platform, the reform of experimental teaching methods and course evaluation methods have been discussed there. Finally, a questionnaire is used to investigate this effect of teaching reform in the experimental course. The results of this survey show that the project-driven method combined with multiple teaching strategies, can better meet the training objectives of data science major, help students better adapt to the challenges of future work, and cultivate high-quality talents with the spirit of lifelong learning, active learning and collaborative learning.

关 键 词：数据科学与大数据 数据分析 实验课程教学改革 项目驱动的教学 

分 类 号：G63[文化科学—教育学]