This book contains the contributions presented at the 6th international KES conference on Smart Education and e-Learning (KES SEEL-2019), which took place at St. Julian’s, Malta, June 17–19, 2019. It contains fifty-five 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 – Students with Disabilities and Smart Education/University, and Part 7 – Mathematical Modelling of Smart Education and Economics of Smart University. 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.
Uskov, V.L, Bakken, J.P., Pandey, A., Singh, U., Yalamanchili, M., Penumatsu, A.: Smart university taxonomy: features, components, systems. In: Uskov, V.L., Howlett, R.J., Jain, L. C. (eds.) Smart Education and e-Learning 2016, pp.
smart. university. References. 1. U.S. Department of Education, National Center for Education Statistics: Digest of education ... 3 (2016). https://nces.ed.gov/fastfacts/display.asp?id=60 2. ... Smart Education and e-Learning 2016, pp.
Smart university taxonomy: features, components, systems. In: Uskov, V.L., Howlett, R.J., Jain, L.C. (eds.) SmartEducation and e-Learning 2016, pp. 3–14. Springer, Cham (2016) 3. Glukhova, L.V., Syrotyuk, S.D., Sherstobitova, A.A., ...
Predictive error processing distinguishes between relevant and irrelevant errors after visuomotor learning. J. Vis. 19(4):18, 1–13 (2019) 2. Caballe, S. (ed.): Intelligent Systems and Learning Data Analytics in Online Education.
This book contains the contributions presented at the 3rd international KES conference on Smart Education and Smart e-Learning, which took place in Puerto de la Cruz, Tenerife, Spain, June 15-17, 2016.
The REV conference aims to discuss the fundamentals, applications and experiences in remote engineering, virtual instrumentation and related new technologies, as well as new concepts for education on these topics, including emerging ...
This book addresses main issues concerned with the future learning, learning and academic analytics, virtual world and smart user interface, and mobile learning.
This book presents the proceedings of the 2020 International Conference on Integrated Science in Digital Age, which was jointly supported by the Institute of Certified Specialists (Russia) and Springer, and was held on May 1–3, 2020.
Mills, K.G.: Fintech, Small Business & the American Dream: How Technology is Transforming Lending and Shaping a New Era of Small Business Opportunity, 1st edn. Springer, Chem (2018) 20. Naifar, N.: Impact of Financial Technology ...
This book constitutes the refereed proceedings of the 13th International Conference on Blended Learning, ICBL 2020, held in Bangkok, in August 2020. The 33 papers presented were carefully reviewed and selected from 70 submissions.