数据驱动下大学新生入馆教育模式实践探索

Practical Exploration of Data-driven Library Entrance Education Mode for Freshmen

[目的/意义]探讨大学新生入馆教育新模式。[方法/过程]基于.NET的B/S的三层体系结构,构建新生入馆教育网上学习及测试平台。该平台具有不受终端设备、地点及时间限制进行学习的特点;构建新生入馆教育数据仓库平台,并通过数据抽取转换及加载技术实现数据清洗及加载过程,联机分析处理技术实现在线分析,数据挖掘算法实现对学生学习及利用图书馆信息的挖掘分析。[结果/结论]该模式能充分发挥学生学习的自主性,值得推广。

[Purpose/significance]The paper is to discuss a new library entrance education mode for freshmen. [Method/process]The paper constructs a online learning and testing platform of library entrance education for freshmen using.NET-based three layer architecture of B/S. The platform has characteristics of easy learning without restrictions of terminal equipment, location and time. The paper also constructs a data warehouse platform of library entrance education for freshmen, realizes data cleaning and loading process by data extraction and transformation and loading technology, online analysis by online analytical processing technology, mining analysis of student＇s learning and using library＇s information by data mining algorithm. [Result/conclusion]The education mode can give full play to autonomy of student learning, and is worth spreading.