Project-Based Teaching Reform and Practice of the Big Data Operations and Maintenance Course Based on AI Empowerment and OBE Philosophy

DOI: https://doi.org/10.62517/jhet.202615320

Author(s)

Yaping Zhang*

Affiliation(s)

Guangdong University of Science and Technology, Dongguan, Guangdong, China *Corresponding Author

Abstract

Due to the continuous development of the digital economy and the new engineering education reform, it is important to solve the existing problems in cultivating big data Operation and Maintenance (O&M) talents, such as the mismatch between curriculum and industry, the monotony of teaching methods and the lack of engineering ability. Taking the Big Data O&M course for the Data Science and Big Data Technology major as the object of reform, this paper combines the Outcome-Based Education (OBE) philosophy and intelligent power tools to establish a four-dimensional project-based teaching method of "goal-driven design, project-based delivery, intelligent assistance in learning and diversified evaluation." Course objectives are reconstructed based on the backward design of OBE, the fragmentary experiments are replaced by a whole semester comprehensive engineering project, the intelligent tools are embedded into the teaching process and a multi-level evaluation system consisting of formative and summative assessments is set up. A quasi-experimental study involving 96 reform-group and 48 control-group students during one teaching period indicates that the engineering competency scores of the reform group have increased by approximately 18% (from 82.7 to 70.1, t=6.23, p<0.05), with a course satisfaction rate of 92%, and a much higher attainment of the graduation requirements. The findings suggest that the integration of intelligent empowerment and OBE philosophy can effectively improve the quality and efficiency of big data course instruction.

Keywords

OBE; AI-Powered Education; Project-Based Learning; Big Data O&M; Teaching Reform; Data Science and Big Data Technology

References

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