基于数据挖掘技术的图书馆智慧化信息素养培训平台设计

Design of a smart information literacy training platform for librariesbased on data mining technology

目前,信息素养培训在个性化推荐、学习行为分析和效果评估等方面存在不足。为解决这一问题,文章采用数据挖掘技术,对图书馆智慧化信息素养培训平台进行了深入研究。文章通过聚类算法、分类算法和关联规则等关键技术,设计了数据挖掘、用户管理、培训资源管理和学习评估与反馈模块的系统架构。功能模块测试结果表明,该平台在提升用户信息素养、优化培训资源配置和实现个性化培训方面具有显著优势,为信息素养培训的智能化和精准化提供了重要的理论依据和实践指导。

At present,there are deficiencies in the content and technical application of information literacy training.To solve this problem,this article adopts data mining technology to design and implement a library intelligent information literacy training platform.This article studies key technologies such as clustering algorithms,classification algorithms,and association rules,and constructs a system architecture that includes data mining,user management,training resource management,and learning evaluation and feedback modules.The performance and reliability of the platform were evaluated through functional module testing.The research results indicate that the platform has significant advantages in improving user information literacy,optimizing training resource allocation,and achieving personalized training.This study provides important theoretical and practical support for the intelligence and precision of information literacy training.