Smart Education and e-Learning 2020
Proceedings of the 7th International KES Conference on Smart Education and e-Learning (KES SEEL-2020)
Published on 8. June 2020
Book
Hardback
XVIII, 633 pages
978-981-15-5583-1 (ISBN)
Description
This book contains the contributions presented at the 7th international KES conference on Smart Education and e-Learning (KES SEEL-2020), which being held as a virtual conference on June 17-19, 2020. It contains fifty three high quality peer-reviewed papers that are grouped into several interconnected parts: Part 1 - Smart Education, Part 2 - Smart e-Learning, Part 3 - Smart Pedagogy, Part 4 - Smart Education: Systems and Technology, Part 5 - Smart Education: Case Studies and Research, Part 6 - Smart University Development: Organizational and Managerial Issues, Part 7 - Smart Education and Smart Universities and their Impact on Students with Disabilities, Part 8 - Mathematical Models in Smart Education and e-Learning, and Part 9 - Models of Professional Practice in Higher Education.
Smart education and smart e-learning are emerging and rapidly growing areas with the potential to transform existing teaching strategies, learning environments, and educational activities and technology in the classroom. Smart education and smart e-learning focus on enabling instructors to develop new ways of achieving excellence in teaching in highly technological smart classrooms, and providing students with new opportunities to maximize their success and select the best options for their education, location and learning style, as well as the mode of content delivery. This book serves as a useful source of research data and valuable information on current research projects, best practices and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners - all those who are interested in smart education and smart e-learning.
Smart education and smart e-learning are emerging and rapidly growing areas with the potential to transform existing teaching strategies, learning environments, and educational activities and technology in the classroom. Smart education and smart e-learning focus on enabling instructors to develop new ways of achieving excellence in teaching in highly technological smart classrooms, and providing students with new opportunities to maximize their success and select the best options for their education, location and learning style, as well as the mode of content delivery. This book serves as a useful source of research data and valuable information on current research projects, best practices and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners - all those who are interested in smart education and smart e-learning.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
45 s/w Abbildungen, 95 farbige Abbildungen
XVIII, 633 p. 140 illus., 95 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 41 mm
Weight
1133 gr
ISBN-13
978-981-15-5583-1 (9789811555831)
DOI
10.1007/978-981-15-5584-8
Schweitzer Classification
Other editions
Additional editions
Vladimir L. Uskov | Robert J. Howlett | Lakhmi C. Jain
Smart Education and e-Learning 2020
Book
06/2021
Springer
€299.59
Shipment within 3-4 weeks
Vladimir L. Uskov | Robert J. Howlett | Lakhmi C. Jain
Smart Education and e-Learning 2020
E-Book
06/2020
Springer
€287.83
Available for download
Persons
Dr. Vladimir Uskov is a Professor of Computer Science and Information Systems and Director of the InterLabs Research Institute at Bradley University. He obtained his Ph.D. and M.Sc. in Computer Science from Moscow Aviation Institute - Technical University, Russia. He has previously worked at the University of Cincinnati and Michigan State University (USA), Moscow State Technical University and Moscow Aviation Institute - Technical University (Russia), and various other universities in Japan, Italy, Germany, the Netherlands and France. His current research is focused on engineering of software/hardware systems and tools for Smart University, Smart Education, Smart Classroom and design of innovative teaching and learning strategies for highly technological Smart Pedagogy. He has published 3 textbooks, 5chapter books and more than 330 papers in international journals and conference proceedings.
Dr. Robert Howlett is the Executive Chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research results in areas including intelligent systems, sustainability and knowledge transfer. He is a Visiting Professor at Bournemouth University in the UK. His technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools and systems; automotive electronics and engine management systems. His current research work is focused on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.
Dr. Lakhmi C. Jain, Ph.D., M.E., B.E. (Hons), Fellow (Engineers Australia), is with the University of Technology Sydney, Australia, and Liverpool Hope University, UK. Professor Jain serves the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES.
Dr. Robert Howlett is the Executive Chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research results in areas including intelligent systems, sustainability and knowledge transfer. He is a Visiting Professor at Bournemouth University in the UK. His technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools and systems; automotive electronics and engine management systems. His current research work is focused on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.
Dr. Lakhmi C. Jain, Ph.D., M.E., B.E. (Hons), Fellow (Engineers Australia), is with the University of Technology Sydney, Australia, and Liverpool Hope University, UK. Professor Jain serves the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES.
Content
Smart Learning Analytics: Student Academic Performance Data Representation, Processing and Prediction.- EIFEL - a New Approach for Digital Education.- FINMINA: a French National Project Dedicated to Educational Innovation in Microelectronics to Meet the Challenges of a Digital Society.- Effect of International Student Competition Experience on Smart Education.- Knowledge-Based Model Representation for a Modern Digital University.- Effects on Girls' Emotions During Gamification-Tasks with Male Priming in STEM Subjects via Eye tracking.- Relevancy of the MOOC about Teaching Methods in Multilingual Classroom.- e-learning Tools for Informal Caretakers of Patients with Dementia - a Review Study.- Automation of e-Workshop Project Control for Knowledge-Intensive Areas.- Assessment of Student Work and the Organization of Individual Learning Paths in Electronic Smart-Learning Systems.