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Data-driven Construction of the Regional Study Tour 4.0 Model Research

By: Yayue Li 1, Bingxiang Hu 2
1Woosong University, Daejeon, 34606, South Korea
2Weifang University, Weifang, Shandong, 261061, China

Abstract

In recent years, the innovation and development of regional study tours have received increasing attention, especially the combination with local culture and the application of technology. The core purpose of study travel is to enhance students’ comprehensive literacy through field learning and exploration, and with the advancement of information technology, the modern study travel model is developing towards digitalization, interactivity and visualization. This paper proposes a regional study tour 4.0 development model based on the ArcGIS Online platform, combining geographic information technology innovations and designing three main phases applicable to study tours: the preparatory phase, the implementation phase, and the summary phase. In the preparatory stage, teachers use the geographic data provided by the platform to screen the study sites and formulate the study plan; in the implementation stage, students improve their ability to discover and analyze geographic issues through geographic observation and practical activities from multiple perspectives; and in the concluding stage, students summarize and share their knowledge by organizing the data and making story maps. The study evaluates the spatial effect and competitiveness of study tours through spatial pattern and competitiveness analysis, using hierarchical analysis and “deviation-share” analysis, and concludes that the competitiveness of study tours in Guangxi presents spatial clustering characteristics, especially in Nanning, Guilin and other cities. Through the analysis of these data, this paper proposes countermeasures to optimize the competitiveness of study and learning travel, and provides theoretical support for cultural innovation.