Research on Online and Offline Blended Teaching Method for Big Data Course in Financial Universities

M. Hai, Haifeng Li, Yangyang Huang
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Abstract

Aiming at the problems existing in the traditional classroom teaching mode adopted in the teaching of big data courses in financial universities: fail to reflect "student-centered", unable to cultivate students' autonomous learning ability, and lack of students' learning time and thinking time, we study a blended teaching method for big data course in financial universities, and design the implementation scheme of blended teaching from three stages: before class, in class and after class. At the same time, a specific teaching example is given, and the evaluation method of blended teaching is further put forward.
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金融院校大数据课程线上线下混合教学方法研究
针对金融院校大数据课程教学采用传统课堂教学模式存在的“以学生为中心”、无法培养学生自主学习能力、缺乏学生学习时间和思考时间等问题,研究了金融院校大数据课程的混合式教学方法,并从课前、课中、课后三个阶段设计了混合式教学的实施方案。同时,给出了具体的教学实例,并进一步提出了混合式教学的评价方法。
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