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Frontiers in Educational Research, 2023, 6(29); doi: 10.25236/FER.2023.062924.

Research and Practice on the Construction of Online and Offline Hybrid First-class Courses of Big Data Analysis


Lina Fang

Corresponding Author:
Lina Fang

School of Management, University of Science and Technology Liaoning, Anshan, Liaoning, 114052, China


The implementation of curriculum teaching reform also needs to rely on classroom teaching, and the first-class curriculum construction standard in the national "Double Thousand Plan" has pointed out the direction of reform. According to the characteristics of the "Big Data Analysis" course, the adoption of online and offline mixed teaching mode will on the one hand make up for the shortage of teaching hours, and on the other hand, it is more important to truly realize "student-centered".  He Kekang, a professor at Beijing Normal University, was the first official advocate of blended teaching in China.  He believes that the blended teaching mode combines the advantages of traditional teaching methods with the advantages of networked teaching, which not only gives full play to the leading role of teachers in guiding, inspiring and monitoring the teaching process, but also fully reflects the initiative, enthusiasm and creativity of students as the main body of the learning process. Blended teaching here is blended learning.


Big Data Analysis, Online and Offline, Hybrid First-class Courses, Research and Practice, independent study, case selection

Cite This Paper

Lina Fang. Research and Practice on the Construction of Online and Offline Hybrid First-class Courses of Big Data Analysis. Frontiers in Educational Research (2023) Vol. 6, Issue 29: 147-150. https://doi.org/10.25236/FER.2023.062924.


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