Mining Web Analytics Data for Information Wikis to Evaluate Informal Learning 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 construct knowledge without being required to follow a predefined learning path in line with the constructivist learning theory. Linkbased navigation and keywordbased 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 insight on informal learning in similar environments.

Design of a Locationbased Word Recommendation System Based on Association Rule Mining Analysis Association rule mining is the process of discovering new knowledge and nontrivial patterns hidden in textual datasets. This approach is often used by learning analytics researchers and practitioners for exploring unique types of data collected from various educational environments. By leveraging association rule mining, this study aims at providing a solution to a critical challenge that most of the locationbased informal learning tools face namely, the limited scopes to learn new words. Hence, the purpose of this work is to design a word recommendation system that can analyze a learneru0027s previously learned words in order to suggest new vocabulary that can be acquired in a particular learning location. We designed a study and explored a dataset for uncovering the insight of language learnersu0027 learning behaviors. 20 EFL (English as Foreign Language) learnersu0027 data, whose learning location was Tokushima region of Japan, is analyzed by using association rule mining technique. The result indicates thatFirst, in informal learning context, EFL learnersu0027 word learning interests vary much from each other although the learning location is same; and Second, a word recommendation system can be introduced by using association rule mining analysis; however, the possibility of getting highly associated words are low compared with random words.