Smart Education and e-Learning 2021

Herausgegeben:Uskov, Vladimir L.; Howlett, Robert J; Jain, Lakhmi C

• Gebundenes Buch

Produktbeschreibung

This book contains the contributions presented at the 8th International KES Conference on Smart Education and e-Learning (KES SEEL 2021), which being held as a virtual conference on June 14-16, 2021. It contains high-quality peer-reviewed papers that are grouped into several interconnected parts: smart education; smart e-learning; smart education: systems and technology; smart education: case studies and research; digital education and economics in smart university, smart university development: organizational, managerial and social Issues; smart universities and their Impact on students with disabilities. 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.

Produktdetails

• Smart Innovation, Systems and Technologies 240
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-16-2833-7
• 1st ed. 2021
• Seitenzahl: 524
• Erscheinungstermin: 6. Juni 2021
• Englisch
• Abmessung: 241mm x 160mm x 34mm
• Gewicht: 945g
• ISBN-13: 9789811628337
• ISBN-10: 9811628335
• Artikelnr.: 61619621

Autorenporträt

Dr. Vladimir Uskov is 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 Radioelectronics 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 concepts, innovative teaching and learning strategies, mathematical models, design and engineering of software/hardware systems, tools and applications for smart university, smart education, smart classroom and smart pedagogy. He has published 3 textbooks, 8 chapter books, and more than 330 papers in international journals and conference proceedings. Dr. Robert Howlett is the Academic Chair of KES International a non-profit organisation which facilitates knowledge transfer and the dissemination of research results in areas including Intelligent Systems, Sustainability, and Knowledge Transfer. He is Visiting Professor at 'Aurel Vlaicu' University of Arad, Romania, and also Visiting Professor at Bournemouth University, UK. His technical expertise is in the use of artificial intelligence and machine learning for the solution of industrial problems. His current interests centre on the application of intelligent systems to sustainability, particularly renewable energy, smart / micro grids and applications in housing and glasshouse horticulture. He previously developed a national profile in knowledge and technology transfer, and the commercialisation of research. He works with a number of universities and international research groups on the supervision teams of PhD students, and the provision of technical support for projects. Dr. Lakhmi C. Jain received Ph.D., M.E., B.E.(Hons) from the University of Technology Sydney, Australia, and Liverpool Hope University, UK, and is Fellow of Engineers Australia. 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.

Inhaltsangabe

Smart Education: Predictive Analytics of Student Academic Performance using Machine Learning Models in Weka and Dataiku Systems.- Educational Trajectories Modeling for Practice-Oriented Higher Education.- A Hybrid Online Laboratory for Basic STEM Education.- Approach to Relevant Data Providing for the Pedagogical Design in Knowledge-Intensive Areas.- Personalizing Older People Training in Modern Technologies for Successful Life in Smart Society.- Method of Planned Learning Outcomes Identification in Higher Education Based on Intellectual Analysis of Labor Market Needs.- A Smart e-Learning System for Data-Driven Grammar Learning.- Experience in Smart e-Learning System Application when Switching to Distance Education to the Fullest Extent: the Case of the Moodle LMS.- Gamification Model for Developing e-Learning in Libyan Higher Education.- Digital Divide and Social Media Related to Smart e-Learning in Obstetrics during the Health Emergency by COVID-19 in Peru.

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Smart Education: Predictive Analytics of Student Academic Performance using Machine Learning Models in Weka and Dataiku Systems.- Educational Trajectories Modeling for Practice-Oriented Higher Education.- A Hybrid Online Laboratory for Basic STEM Education.- Approach to Relevant Data Providing for the Pedagogical Design in Knowledge-Intensive Areas.- Personalizing Older People Training in Modern Technologies for Successful Life in Smart Society.- Method of Planned Learning Outcomes Identification in Higher Education Based on Intellectual Analysis of Labor Market Needs.- A Smart e-Learning System for Data-Driven Grammar Learning.- Experience in Smart e-Learning System Application when Switching to Distance Education to the Fullest Extent: the Case of the Moodle LMS.- Gamification Model for Developing e-Learning in Libyan Higher Education.- Digital Divide and Social Media Related to Smart e-Learning in Obstetrics during the Health Emergency by COVID-19 in Peru.