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.
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Table of Contents
1. The colMOOC project: Integrating Conversational Agents and Learning Analytics in MOOCs 2. Personalizing alternatives for diverse learner groups: Readability tools 3. An Intelligent System For Support Planning Interactive Learning Segments In Online Education 4. Integrating a conversational pedagogical agent into instructional activities of a Massive Open Online Course to increase the effectiveness and the completion rates 5. A literature review on artificial intelligence and ethics in online education 6. Assessing students' social and emotional competencies through graph analysis of emotional-enriched sociograms 7. Adaptive Task Selection in Automated Educational Software: A Comparative Study 8. Actor's Knowledge Massive Identification in the Learning Management System 9. Improving MOOCs experience using Learning Analytics and Intelligent Conversational Agent 10. Intelligent Distance Learning Framework for Heterogeneous Online Students 11. Sequential engagement based Online Learning Analytics and Prediction 12. AI-Enabled Remote Learning and Teaching using Pedagogical Conversational Agents and Learning Analytics 13. Transfer Learning Techniques for Cross-Domain MOOC Forum Post Analysis 14. Human Computation for Learning and Teaching or Collaborative Tracking of Learners' Misconceptions 15. Assisted Education: Using Predictive Model to Avoid School Dropout in e-Learning Systems