文章探索數據驅動下高校圖書館課程地圖構建的變革及實現:建立圖書館多維數據與課程地圖各核心要素之間的邏輯關系,利用數據庫技術、文獻計量法、問卷調查等方式收集數據,綜合運用統計學原理、詞頻分析工具、比較分析方法、學習熱度公式來分析數據,以更貼近學生需求的方式生成課程計劃,構建基于多維數據的課程地圖。實踐結果顯示:文章提出的課程地圖構建新路徑簡單清晰、易于分享和推廣、具有可用性和可擴展性,可為課程地圖的構建提供新的思路——由"以經驗描述為主要依據和以靜態標準為單一導向"轉向"基于數據全面分析"。

In order to create a curriculum map that can better meet students’ study needs,the authors explore the transformation and implementation path of university library curriculum map by data-driven approach.Firstly,the logical relationship among multi-dimensional data and the key factors of curriculum map are established.By applying database techniques,library and publication statistics,questionnaire and other methods,data are duly collected.Data are then analyzed by statistical methods,word frequency tools,comparison analysis method and learning eagerness equation.The results show that the proposed new curriculum map is clear,practical,expansible,easy to understand and promote.The data-driven approach provides new perspectives and methods to create curriculum maps rather than using experience as the basis and building on static standards.The authors consider that this new approach can improve the decision-making of curriculum design,expand the breadth and depth of library curriculum,and better promote staff relations and social development.