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Smart Education and e-Learning 2016

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Table of Contents

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    Book Overview
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    Chapter 1 Smart University Taxonomy: Features, Components, Systems
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    Chapter 2 Smart Universities, Smart Classrooms and Students with Disabilities
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    Chapter 3 Innovative Approaches Toward Smart Education at National Institute of Technology, Gifu College
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    Chapter 4 University Smart Guidance Counselling
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    Chapter 5 Teacher’s Role in a Smart Learning Environment—A Review Study
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    Chapter 6 Toward Smart Value Co-education
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    Chapter 7 Smart University Management Based on Process Approach and IT-Standards
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    Chapter 8 A Formal Algebraic Approach to Modeling Smart University as an Efficient and Innovative System
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    Chapter 9 Conceptual Framework for Feedback Automation in SLEs
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    Chapter 10 Development of Smart-System of Distance Learning of Visually Impaired People on the Basis of the Combined of OWL Model
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    Chapter 11 Data Mining of Students’ Behaviors in Programming Exercises
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    Chapter 12 Social Network Sites as a Good Support for Study Purposes
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    Chapter 13 Design and Application of MOOC “Methods and Algorithms of Graph Theory” on National Platform of Open Education of Russian Federation
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    Chapter 14 A Framework for Human Learning Ability Study Using Simultaneous EEG/fNIRS and Portable EEG for Learning and Teaching Development
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    Chapter 15 A Conceptual Framework for Knowledge Creation Based on Constructed Meanings Within Mentor-Learner Conversations
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    Chapter 16 Inductive Teaching and Problem-Based Learning as Significant Training Tools in Electrical Engineering
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    Chapter 17 A Supporting Service in Teacher Training: Virtual Newspaper
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    Chapter 18 Participation in State R&D Projects Jointly with Industrial Enterprises: Factor in Employability Improving of University Graduates
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    Chapter 19 On-Line Formative Assessment: Teaching Python in French CPGE
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    Chapter 20 PageRank Algorithm to Improve the Peer-Led Team Learning Pedagogical Approach
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    Chapter 21 Developing Computational Thinking Abilities Instead of Digital Literacy in Primary and Secondary School Students
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    Chapter 22 Innovations in Subjects Knowledge Technologies
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    Chapter 23 Economic Aspects of the Introduction of the SMART Technology into Kindergartens and Primary Schools—Czech National and Local Scene
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    Chapter 24 An Integrative Approach of E-Learning: From Consumer to Prosumer
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    Chapter 25 Using E-Learning in Teaching Economics at Universities of the Czech Republic
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    Chapter 26 The Gamification Model for E-Learning Participants Engagement
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    Chapter 27 RLCP-Compatible Virtual Laboratories in Computer Science
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    Chapter 28 Combining Science with Art to Educate and Motivate Patients Prior to Colorectal Cancer Screening
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    Chapter 29 Tangible Interfaces for Cognitive Assessment and Training in Children: LogicART
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    Chapter 30 On the Process of Mobile-Assisted Teaching and Learning at FIM UHK—Analysis and Reflection
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    Chapter 31 Assessment of Outcomes in Collaborative Project-Based Learning in Online Courses
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    Chapter 32 Vagrant Virtual Machines for Hands-On Exercises in Massive Open Online Courses
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    Chapter 33 Sequencing Educational Contents Using Clustering and Ant Colony Algorithms
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    Chapter 34 Students’ Assessment Preferences in ESP in the Smart Learning Environment
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    Chapter 35 Smart Technologies in Psycho-Oriented Strategies of Adaptive Education
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    Chapter 36 Elderly People and Their Use of Smart Technologies: Benefits and Limitations
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    Chapter 37 Smart Classroom
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    Chapter 38 Creating a Smart Virtual Reality Simulator for Sports Training and Education
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    Chapter 39 Using Embedded Robotic Platform and Problem-Based Learning for Engineering Education
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    Chapter 40 Learning Object Assembly Based on Learning Styles
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    Chapter 41 Transmedia Storytelling for Social Integration of Children with Cognitive Disabilities
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    Chapter 42 Application of Semantic Web Technologies to Facilitate Use of E-Learning System on Mobile Devices
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    Chapter 43 Applications of Innovative “Active Learning” Strategy in “Control Systems” Curriculum
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    Chapter 44 Learning Strategies for Cryptography Using Embedded Systems
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    Chapter 45 Introducing Smart Technologies for Teaching and Learning of Fundamental Disciplines
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    Chapter 46 Redefining Knowledge Management Education with the Support of Personal Knowledge Management Devices
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    Chapter 47 Interactive Educational System Based on Generative Approach, and the Problem of Answer Checking
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    Chapter 48 Smart Technologies in Foreign Language Students’ Autonomous Learning
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    Chapter 49 Formation of the Individual Learning Path in the Information and Educational School Environment
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    Chapter 50 Information Education in Russia
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    Chapter 51 Implementation of the Internet for Educational Purposes
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    Chapter 52 Assessment of Levels of Formation of Competence of Students as Users of Information and Communication Technology in the Field of Health Care
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    Chapter 53 Intelligent System of Training and Control of Knowledge, Based on Adaptive Semantic Models
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    Chapter 54 Use of Electronic Mind Maps for Creation of Flexible Educational Information Environments
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    Chapter 55 Exploiting the Characteristics of Lecturers Based on Faculty Performance Evaluation Forms
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    Chapter 56 Teaching Big Data Technology Practices in Cloud Environment
Attention for Chapter 53: Intelligent System of Training and Control of Knowledge, Based on Adaptive Semantic Models
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Chapter title
Intelligent System of Training and Control of Knowledge, Based on Adaptive Semantic Models
Chapter number 53
Book title
Smart Education and e-Learning 2016
Published by
Springer International Publishing, June 2016
DOI 10.1007/978-3-319-39690-3_53
Book ISBNs
978-3-31-939689-7, 978-3-31-939690-3
Authors

Tamara Shikhnabieva, Sergey Beshenkov

Editors

Vladimir L. Uskov, Robert J. Howlett, Lakhmi C. Jain

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Lecturer 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Engineering 2 67%
Computer Science 1 33%