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|a 9789811555848
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|a Smart Education and e-Learning 2020
|h [electronic resource] /
|c edited by Vladimir L. Uskov, Robert J. Howlett, Lakhmi C. Jain.
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| 250 |
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|a 1st ed. 2020.
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| 264 |
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|a Singapore :
|b Springer Nature Singapore :
|b Imprint: Springer,
|c 2020.
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| 300 |
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|a XVIII, 633 p. 140 illus., 95 illus. in color.
|b online resource.
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|a text
|b txt
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|a Smart Innovation, Systems and Technologies,
|x 2190-3026 ;
|v 188
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| 505 |
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|a 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.
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| 520 |
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|a 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.
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|a Computational intelligence.
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|a Artificial intelligence.
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| 650 |
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|a Teachers
|x Training of.
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| 650 |
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|a Computational Intelligence.
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| 650 |
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|a Artificial Intelligence.
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| 650 |
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|a Teaching and Teacher Education.
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| 700 |
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|a Uskov, Vladimir L.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Howlett, Robert J.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Jain, Lakhmi C.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9789811555831
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| 776 |
0 |
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|i Printed edition:
|z 9789811555855
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| 776 |
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|i Printed edition:
|z 9789811555862
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| 830 |
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|a Smart Innovation, Systems and Technologies,
|x 2190-3026 ;
|v 188
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| 856 |
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|u https://doi.org/10.1007/978-981-15-5584-8
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| 912 |
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|a ZDB-2-INR
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| 912 |
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|a ZDB-2-SXIT
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| 950 |
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|a Intelligent Technologies and Robotics (SpringerNature-42732)
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| 950 |
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|a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
|