Article Details

Abstract

Aiming at the four core pain points of the applied data collection and preprocessing course in undergraduate colleges—“disconnection between learning and application, limited practice, outdated cases, and one-sided evaluation”, this study draws on the idea of “work process systematization” from German vocational education, adheres to the core concept of “student-centered and competency-based”, and constructs a four-dimensional innovative system of “content reconstruction, model reform, practice enhancement, and evaluation closed-loop”. The core is to create a hybrid teaching model of “Touge Cloud Platform online challenge-based progression + Learning Pass resource support + offline PBL”by reconstructing modular content integrating 8 real industry cases, iterative upgrading, and imperceptible integration of ideological and political elements. It deepens university-enterprise collaborative education, and establishes an “N+1 process-oriented” diversified evaluation system to comprehensively improve the quality of course instruction. After the course reform, the students' practice completion rate increases from 15% to over 84%, the classroom satisfaction rate reaches over 95%, with marked improvement in the quality of students' competition achievements and graduation designs, providing a replicable model for the teaching innovation of similar application-oriented courses.

Keywords

cloud platform; data collection and preprocessing; blended teaching innovation

References

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Funding

School level characteristic applied course construction project "Data Collection and Preprocessing" (2024YY1); Collaborative Education Project of the Ministry of Education (231005709152232); Provincial Excellent Grassroots Teaching Organization of Hubei Universities in 2023 (EJiaoGao Han [2023] No. 23); 2021 Hubei University First Class Undergraduate Course (2021SA01)

About the authors

Chen Suhong (1983-), female, Han ethnicity, from Ji'an, Jiangxi, lecturer, master's student, research direction: algorithm analysis and design, data processing; Peng Wenyi (1977-), male, Han ethnicity, from Guangshui, Hubei, associate professor, master's student, research direction: computer algorithms; Jin Lan (1979-), female, Han nationality, from Anlu, Hubei, professor, master's student, research direction: data analysis and processing, software engineering.