Reform and practice of the data acquisition and preprocessing course in digital intelligence education

Authors

• Kun Qin, Wuhan University, China
• Yan Gong, Wuhan University, China
• Xiaoliang Meng, Wuhan University, China
• Zheng Ji, Wuhan University, China
• Gang Li, Wuhan University, China
• Yichun Xie, Eastern Michigan University
• Zhipeng Gui, Wuhan University, China
• Songtao Ai, Wuhan University, China
• Wanling Gong, Wuhan University, China
• Pengcheng Zhao, Wuhan University, China
• Longgang Xiang, Wuhan University, China
• Changhui Yu, Wuhan University, China

Document Type

Article

Publication Date

2025

Department/School

Geography and Geology

Publication Title

Frontiers in Digital Education

Abstract

Data acquisition and preprocessing is a core course on digital intelligence at Wuhan University that is designed to cultivate students’ understanding of data sources and improve preprocessing methods. The course aims at fostering digital thinking and literacy and enhancing intelligent computing skills. This study examined digital intelligence education and reform practices integrated into the data acquisition and preprocessing course, which covered web data, social sensing data, remote sensing data, sensor network data, unmanned aerial vehicle data, and 3D data. Moreover, the study explored the development and implementation of the course’s teaching platform, which was based on the open geospatial engine.

Comments

Y. Xie is a faculty member in EMU's Department of Geography and Geology.

Link to Published Version

DOI: 10.1007/s44366-025-0044-0

Recommended Citation

Qin, K., Gong, Y., Meng, X., Ji, Z., Li, G., Xie, Y., Gui, Z., Ai, S., Gong, W., Zhao, P., Xiang, L., & Yu, C. (2025). Reform and practice of the data acquisition and preprocessing course in digital intelligence education. Frontiers of Digital Education, 2(1), 8. https://doi.org/10.1007/s44366-025-0044-0