Research on the Mixed Teaching Practice of Remote Sensing Digital Image Processing under the Background of MOOCs

Abstract

Abstract: Remote sensing image is the basic data of scientific research and engineering facilities construction. In the traditional classroom teaching mode of Remote Sensing Digital Image Processing, students' participation is low, which has great limitations for cultivating students' learning interest and self-learning ability. Based on this problem, this paper takes Remote Sensing Digital Image Processing course as an example, and constructs a hybrid teaching mode based on MOOCs and flipped classroom. It has been proved in practice that this mode is beneficial to improve students' learning autonomy and enthusiasm, and cultivate students' ability to analyze and solve problems.

Key words: MOOCs, Flipped classroom, Mixed teaching, Remote Sensing Digital Image Processing, Teaching reform, Super star learning

CLC Number:

G642
TP75

WANG Xiaomei, ZHANG Mingmei. Research on the Mixed Teaching Practice of Remote Sensing Digital Image Processing under the Background of MOOCs[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2022, 5(16): 46-48.

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