收稿日期: 2016-04-08
修回日期: 2016-07-19
网络出版日期: 2016-09-20
基金资助
本文系中央高校基本科研业务费专项资金“大学生信息素养能力评估及在线教育平台研究”（项目编号：XDJK2013C135）和“数字原生代大学生信息素养培养与提高策略”（项目编号：XDJK2015C111）研究成果之一。
Critical Questions for the Personalized Autonomous Learning Platform of Information Literacy
Received date: 2016-04-08
Revised date: 2016-07-19
Online published: 2016-09-20
[目的/意义] 信息素养存在个体差异，当代大学生更倾向于“个性化、交互式、任务参与型甚至自主的学习”；信息素养个性化自主学习平台可为广大学生的差异化需求和持续进步提供解决方案。[方法/过程] 从自主学习需要的要素出发，分析“分学科、分阶段、分等级”模块化知识组织、信息素养评估、自主学习过程行为模式、信息素养提升影响因素和依赖路径、学习资源的个性化推荐等6个要素，据此定义平台系统架构和运行规则，并提炼出信息素养自主学习平台需要突破的3个技术难点：信息素养评估、信息素养提升的依赖路径、个性化推荐算法。[结果/结论] 研究结果表明，信息素养个性化自主学习平台不仅仅需要解决资源和用户行为相匹配问题，还需要具备“面向更高一级信息素养水平而推荐学习资源和学习策略”的能力。
王艳 , 邓小昭 , 周剑 . 信息素养个性化自主学习平台基本问题探讨[J]. 图书情报工作, 2016 , 60(18) : 109 -114,121 . DOI: 10.13266/j.issn.0252-3116.2016.18.013
[Purpose/significance] There exists personal differences on information literacy for college students. College students of network generation prefer to personalized, interactive, task participation even autonomous learning. for their information literacy.[Method/process] Firstly, beginning with the primary elements of a personalized autonomous learning platform, this paper discusses six elements for information literacy, including modular knowledge organization for different discipline, different stage and different grade, information literacy assessment, analysis of autonomous learning behavior mode, critical factors and path dependence for the improvement of information literacy, and personalized recommendation for the learning resources. Secondly, this paper presents the system architecture for the personalized autonomous learning platform and explains its operation processes. Thirdly, it puts forward three barrels about the platform, including information literacy assessment, the path dependence for the improvement of information literacy, and personalized recommendation algorithm.[Result/conclusion] A personalized autonomous learning platform of information literacy should have two functions, including matching the learning resources with user's behavior, and recommending learning resources and learning tactics for a higher information literacy ability.
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