Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods to improve online teaching and learning. This book addresses key problems such as attrition and lack of engagement in MOOCs and online learning in general. This book explores the state of the art of artificial intelligence, software tools and innovative learning strategies to provide better understanding and solutions to the various challenges of current e-learning in general and MOOC education. In particular, Intelligent Systems and Learning Data Analytics in Online Education shares stimulating theoretical and practical research from leading international experts. This publication provides useful references for educational institutions, industry, academic researchers, professionals, developers, and practitioners to evaluate and apply.

This book constitutes the refereed proceedings of the 12th International Workshop on Groupware, CRIWG 2006. The book presents 21 revised full papers and 13 revised short papers, carefully reviewed and selected from 99 submissions. Topical sections include collaborative applications and group interaction, group awareness, computer supported collaborative learning, languages and tools supporting collaboration, groupware development frameworks and toolkits, collaborative workspaces, web-based cooperative environments, mobile collaborative work, and collaborative design.