Intelligent Systems and Learning Data Analytics in Online Education
Häftad, Engelska, 2021
Av Santi Caball�, Stavros N. Demetriadis, Eduardo G�mez-S�nchez, Pantelis M. Papadopoulos, Armin Weinberger, Santi Caballé, Eduardo Gómez-Sánchez, Spain) Caballe, Santi (Professor, Faculty of Computer Science, Multimedia and Telecommunications, Universitat Oberta de Catalunya, Barcelona, Greece) Demetriadis, Stavros N. (Professor, School of Informatics, Aristotle University of Thessaloniki, Spain) Gomez-Sanchez, Eduardo (Professor, School of Telecommunications Engineering, Universidad de Valladolid, Valladolid, The Netherlands) Papadopoulos, Pantelis M. (Associate Professor, Department of Instructional Technology, University of Twente, Enschede, Germany) Weinberger, Armin (Professor, Department of Educational Technology and Knowledge Management, Saarland University, Saarland
1 649 kr
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
Produktinformation
- Utgivningsdatum2021-06-18
- Mått191 x 235 x 28 mm
- Vikt880 g
- FormatHäftad
- SpråkEngelska
- SerieIntelligent Data-Centric Systems
- Antal sidor424
- FörlagElsevier Science
- ISBN9780128234105