Smart Education and e-Learning 2021
Smart Education and e-Learning 2021
edited by Vladimir L. Uskov, Robert J. Howlett, Lakhmi C. Jain.
- First edition 2021
- 1 recurso en línea (XV, 506 páginas) 156 ilustraciones, 114 ilustraciones a color
- Smart Innovation Systems and Technologies 240 2190-3026 Intelligent Technologies and Robotics (SpringerNature-42732) Intelligent Technologies and Robotics (R0) (SpringerNature-43728) .
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.
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.
9789811628344
10.1007/978-981-16-2834-4 doi
Internet en la enseñanza
LB1044.87 / 2021 EB
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.
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.
9789811628344
10.1007/978-981-16-2834-4 doi
Internet en la enseñanza
LB1044.87 / 2021 EB