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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.
- Presents the application of innovative AI techniques to collaborative learning activities
- Offers strategies to provide automatic and effective tutoring to students' activities
- Offers methods to collect, analyze and correctly visualize learning data in educational environments
Language
Place of publication
Publishing group
Elsevier Science & Techn.
Illustrations
Approx. 100 illustrations
File size
ISBN-13
978-0-12-823127-2 (9780128231272)
Schweitzer Classification
1. The colMOOC project: Integrating Conversational Agents and Learning Analytics in MOOCs2. Personalizing alternatives for diverse learner groups: Readability tools3. An Intelligent System For Support Planning Interactive Learning Segments In Online Education4. Integrating a conversational pedagogical agent into instructional activities of a Massive Open Online Course to increase the effectiveness and the completion rates5. A literature review on artificial intelligence and ethics in online education6. Assessing students' social and emotional competencies through graph analysis of emotional-enriched sociograms7. Adaptive Task Selection in Automated Educational Software: A Comparative Study8. Actor's Knowledge Massive Identification in the Learning Management System9. Improving MOOCs experience using Learning Analytics and Intelligent Conversational Agent10. Intelligent Distance Learning Framework for Heterogeneous Online Students11. Sequential engagement based Online Learning Analytics and Prediction12. AI-Enabled Remote Learning and Teaching using Pedagogical Conversational Agents and Learning Analytics13. Transfer Learning Techniques for Cross-Domain MOOC Forum Post Analysis14. Human Computation for Learning and Teaching or Collaborative Tracking of Learners' Misconceptions15. Assisted Education: Using Predictive Model to Avoid School Dropout in e-Learning Systems