Intelligent Systems and Learning Data Analytics in Online Education

Intelligent Systems and Learning Data Analytics in Online Education provides novel AI and analytics-based methods to improve online teaching and learning, addressing key problems such as, for example, the problem of attrition in MOOCs and online learning in general. The book explores the state of the art, artificial intelligence, software tools and innovative learning strategies to provide better understanding and solutions to the different problems and challenges of current e-Learning in general and MOOC education in particular. Stimulating theoretical and practical research from leading international experts, this advanced publication provides useful references for educational institutions, industry, academic researchers, professionals, developers and practitioners to apply, evaluate and reproduce this book's contributions. Presents application of innovative artificial intelligence techniques to collaborative learning activitiesOffers strategies to provide automatic and effective tutoring to students' activitiesOffers methods to collect, analyze and correctly visualize learning data in educational environments INDICE: 1. Learning Engineering, Online education, eLearning2. Massive online open courses (MOOCs)3. Computer-supported collaborative learning (CSCL)4. Conversational pedagogical agents5. Learning data analytics6. Agent-based software for education7. Monitoring and analysis of individual and group data interactions 8. Knowledge-based technologies for CSCL9. Information visualization techniques for supporting and analyzing group learning data and processes10. Discursive data analysis for CSCL11. Assessment data analytics for MOOCs12. Feedback generation, support and automation for MOOCs13. Methodologies for the design of MOOC activities, resources and tools14. Best practices, user experiences and case studies of MOOCs15. Self, peer and collaborative learning in MOOCs16. Human-Computer interaction in MOOCs

• ISBN: 978-0-12-823410-5
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 450
• Fecha Publicación: 01/05/2021
• Nº Volúmenes: 1
• Idioma: Inglés