體驗區
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| 篇名 |
大學生之校園數位足跡與人格特質關聯性研究
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| 並列篇名 |
The Study of the Relationship Between Student’s Personality and Digital Footprint on Campus
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| 作者 |
區國良(Kou- Liang Ou)
、陳建承(Chien-Cheng Chen)
、黃郁喬(Yu-Chiao Huang)
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| 中文摘要 |
數位足跡是指人們在日常生活中，以數位化的方式儲存使用者所在的位置資訊以及行為歷程，過去經常利用分析遊客的移動路徑後，提供觀光景點或交通動線規劃使用。由於大學生長時間身處在校園中進行學習活動，長期累積的數位足跡若能加以記錄、蒐集及統整分析，將可發掘學生在校園中的行為特徵。本研究以168位大學生自備的智慧型手機作為數位足跡記錄裝置，蒐集一個學年期間在校園中移動之軌跡作為資料集，以開源的R Server及Shiny套件建構視覺化數值分析界面，再利用非監督式學習演算法發掘學生移動及停留的行為群聚現象，進而分析與其人格特質之間的關聯。本研究所提出的創新方法及結果可作為未來學生輔導或校園規劃之參考。
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| 英文摘要 |
Digital footprint refers to collect the people’s locational information and behaviors of daily life digitally. The digital footprint analysis can help researchers understand the subject’s characteristics and interaction between residents and space. Most of the undergraduates spend a long time on the campus for learning activities. If their digital footprints can be recorded, collected, integrated, and analyzed, it could explore students’ behavior characteristics. This study employed 168 college students’ smartphones as digital footprint recording devices, which were used to depict the trails of student’s movement on campus. A visualization tool for exploring the subject’s digital footprint patterns was constructed by R Server and Shiny package, and an unsupervised algorithm was used to figure out their clusters. The relationship between students’ digital footprint and their personality traits were discussed in this study. The innovative methods and results support future studies for enhancing digital footprint student counseling or campus design.
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| 頁次 |
001-026
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| 關鍵詞 |
人格特質
、非監督式學習
、視覺化分析
、數位足跡
、personality traits
、unsupervised learning
、visualization
、digital footprint
、TSSCI
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| 卷期 |
13:3
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| 日期 |
202107
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| 刊名 |
數位學習科技期刊
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| 出版單位 |
臺灣數位學習與內容學會
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| DOI |
10.3966/2071260X2021071303001
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