Reform and Practice of Agricultural Machinery Test Design and Data Analysis Course based on Blue Ink Cloud Class Platform

Jing Zhang; Junyan Wen; Dan Wei; Hongmei Zhang; Wanzhang Wang; Baoshan Wang; He Li

doi:10.6918/IJOSSER.202408_7(8).0029

Authors

Jing Zhang
Junyan Wen
Dan Wei
Hongmei Zhang
Wanzhang Wang
Baoshan Wang
He Li

DOI:

https://doi.org/10.6918/IJOSSER.202408_7(8).0029

Keywords:

Cloud Class; Agricultural Engineering; Blended Teaching; Teaching Quality; Talent Cultivation.

Abstract

In view of the current reform hotspots in blended teaching and the demand for innovative talent cultivation in agricultural engineering, this paper explores the blended teaching mode and teaching effectiveness of the agricultural machinery experimental design and data analysis courses based on the Blue Ink Cloud Class platform. By integrating students' online learning with classroom teachers' offline teaching through this platform, the pre-class exploration and guided learning during class are optimized, classroom interaction is strengthened, and the transfer and internalization of professional knowledge and practical skills are promoted. The practical effect of the reform shows that the blended teaching mode based on the Blue Ink Cloud Class platform helps further improve teaching effectiveness and quality, and it also effectively improves the practical ability of agricultural machinery related majors to use modern experimental design tools to solve complex engineering problems, cultivates more innovative engineering and technical talents to meet the current demand for new quality productivity in agriculture.

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References

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