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Cognitive Computing in Technology-Enhanced Learning

Miltiadis D. Lytras, Naif Aljohani, Linda Daniela, Anna Visvizi (Herausgeber)

Media-Kombination

345 Seiten

2019
Information Science Reference
978-1-5225-9724-7 (ISBN)

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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.

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.

Erscheint lt. Verlag	31.5.2019
Verlagsort	PA
Sprache	englisch
Maße	178 x 254 mm
Themenwelt	Schulbuch / Wörterbuch ► Unterrichtsvorbereitung ► Unterrichts-Handreichungen
Themenwelt	Sozialwissenschaften ► Pädagogik
ISBN-10	1-5225-9724-7 / 1522597247
ISBN-13	978-1-5225-9724-7 / 9781522597247
Zustand	Neuware