文章基本信息

标题：Mining Web Analytics Data for Information Wikis to Evaluate Informal Learning
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作者：Heba M. Ismail ; Boumediene Balkhouche ; Saad Harous 等
期刊名称：International Journal of Engineering Pedagogy
电子版ISSN：2192-4880
出版年度：2020
卷号：10
期号：1
页码：125-149
DOI：10.3991/ijep.v10i1.11713
出版社：International Society for Engineering Education (IGIP) in cooperation with Kassel University Press GmbH
摘要：Information wikis and especially Wikipedia have become one of the most attractive environments for informal learning. The nature of wikis enables learners to freely navigate the learning environment and independently con-struct knowledge without being required to follow a predefined learning path in line with the constructivist learning theory. Link-based navigation and keyword-based search methods used on Wikipedia and similar information wikis suffer from many limitations. In our paper, we present an effective recommendation system that provides easier and faster access to relevant content on Wikipedia to support informal learning. In addition, we evaluate the impact of personalized content recommendations on informal learning from Wikipedia and show how web analytics data can be used to get an in-sight on informal learning in similar environments.
关键词：Information filtering; Information Wikis; Informal Learning; Personalized Content Recommendations; Recommender systems; Wikipedia; Evaluation; Web Analytics