Cognitive Computing in Technology-Enhanced Learning

Miltiadis D. Lytras

ISBN 10: 1522597239 / ISBN 13: 9781522597230

Edité par Information Science Reference, 2019

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book investigates the new era of technology-enhanced learning from a learning analytics and innovation perspective. It also examines state-of-the art approaches of advanced data mining systems in e-leaning, such as MOOCs and other innovative technologies'.

N° de réf. du vendeur 9781522597230

Détails bibliographiques

• Titre: Cognitive Computing in Technology-Enhanced Learning
• Éditeur: Information Science Reference
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 1522597239
• ISBN à 13 chiffres: 9781522597230
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 254 L x 178 H x 20 P (en millimètres) 254 millimètres de largeur par 178 millimètres de hauteur par 20 millimètres de profondeur
• Poids: 713 grammes

A propos de ce titre

Synopsis

Various technologies and applications such as cognitive computing, artificial intelligence, and learning analytics have received increased attention in recent years. The growing demand behind their adoption and exploitation in different application contexts has captured the attention of learning technology specialists, computer engineers, and business researchers who are attempting to decipher the phenomenon of personalized e-learning, its relation to already conducted research, and its implications for new research opportunities that effect innovations in teaching. Cognitive Computing in Technology-Enhanced Learning is a critical resource publication that aims to demonstrate state-of-the-art approaches of advanced data mining systems in e-learning, such as MOOCs and other innovative technologies, to improve learning analytics, as well as to show how new and advanced user interaction designs, educational models, and adoptive strategies can expand sustainability in applied learning technologies. Highlighting a range of topics such as augmented reality, ethics, and online learning environments, this book is ideal for educators, instructional designers, higher education faculty, school administrators, academicians, researchers, and students.

À propos des auteurs

Miltiadis D. Lytras is Research Professor at Deree- The American College of Greece with a research focus on semantic web, knowledge management and e-learning, with more than 100 publications. He has co-edited more than 45 special issues in International Journals (IEEE Transaction on Knowledge and Data Engineering, IEEE Internet Computing, IEEE Transactions on Education, Computers in Human Behaviour, Interactive Learning Environments, Journal of Knowledge Management, Journal of Computer Assisted Learning) and has authored/(co-)edited 42 books (e.g. Open Source for Knowledge and Learning Management, Ubiquitous and Pervasive Knowledge Management, Intelligent Learning Infrastructures for Knowledge Intensive Organizations, Semantic Web Based Information Systems, China Information Technology Handbook, Real World Applications of Semantic Web and Ontologies, Web 2.0: The Business Model). He (has) serves(ed) as the (Co) Editor in Chief of 8 international journals (e.g. International Journal on Semantic Web and Information Systems, International Journal of Knowledge Society Research, International Journal of Knowledge and Learning, International Journal of Technology Enhanced Learning).

Naif R. Aljohani is Assistant Professor and Head of Department of Information Systems at the Faculty of Computing and Information Technology in King Abdul Aziz University, Jeddah, Saudi Arabia. He holds a PhD in Computer Science from the University of Southampton, UK. He received the Bachelor’s degree in Computer Education from King Abdul Aziz University, 2005. In 2009, he received the Master degree in Computer Networks from La Trobe University, Australia. His research interests are in the areas of mobile and ubiquitous computing, mobile and ubiquitous learning, learning and knowledge analytics, semantic web, Web Science, technology enhanced learning and human computer interaction. He has more than 40 research publications.

Linda Daniela - Dr. Daniela is the professor and senior researcher at the University of Latvia; Chair of the Council for Promotion in Pedagogy of the University of Latvia; Head of the Scientific Institute of Pedagogy; Expert of Education at the Council of Sciences of the Republic of Latvia. Her research interests include virtual education, smart education, educational technologies for learning, educational robotics, educational processes and solutions for reducing social exclusion from the educational processes. Professor is an author and co-author of publications about processes in all dimensions of education. She has been involved in several projects, she is an editor and co-editor of several books and journals, and she is a scientific adviser for doctoral and master thesis.

Anna Visvizi is Associate Professor at Deree – The American College of Greece and Visiting Scholar at Effat University, Jeddah. A political scientist and economist, editor and research consultant, with an extensive experience in academia and the think-tank sector, Dr. Visvizi presented her work in many forums across Europe and the US, including Capitol Hill. A practiced team-worker, researcher, analyst and lecturer, Dr. Visvizi’s expertise spans the following interrelated areas of research: political economy; migration; smart cities; innovation, competitiveness and policy-making, with the geographical focus of her research defined by the EU, China, and the Arab World.