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Smart Education and e-Learning 2019

Overview of attention for book
Smart Education and e-Learning 2019
Springer Singapore

Table of Contents

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    Book Overview
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    Chapter 3 Classification of University Students Attending Computing Classes Using a Self-assessment Questionnaire
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    Chapter 4 Smart Education in an Interconnected World: Virtual, Collaborative, Project-Based Courses to Teach Global Software Engineering
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    Chapter 6 Teaching Culture and Literature of German-Speaking Countries with the Support of Virtual Learning Environment in Reflection and Self-reflection of Students of Management of Tourism—A Case Study
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    Chapter 9 Interculturality in Blended Learning: Challenges of Electronic Communication
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    Chapter 10 Machine Learning Approach of Predicting Learning Outcomes of MOOCs to Increase Its Performance
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    Chapter 11 A Development of Instructional Games for Education Students
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    Chapter 12 The Methodology of Development of Electronic Educational Resources for Learning of General Scientific Disciplines in Non-native Language
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    Chapter 13 Visualization of Learning Activities in Classroom Blended with e-Learning System
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    Chapter 14 Dosage Effects of CAI on Literacy Skills
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    Chapter 15 Construction of a Socio-affective Profile Model of Students in a Virtual Learning Environment
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    Chapter 16 Smart e-Learning in the Preparation of Novice Pop Vocalists in the University
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    Chapter 17 Communication with Students in Smart e-Learning System Using LMS Moodle
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    Chapter 19 Using Ontology Engineering to Design an Artificial Intelligence Course
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    Chapter 20 Development and Implementation of BIPV Courseware for Higher Education and Professionals
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    Chapter 21 An Engineering Educational Program Using “Twin Rotor MIMO System” Laboratory Platform
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    Chapter 22 Competency-Based Approach Teaching Software Engineering
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    Chapter 23 Randomized Controlled Trial of Kindergarten Students Using Literacy Technology
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    Chapter 24 Mandatory Matching Between Microelectronics Industry and Higher Education in Engineering Toward a Digital Society
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    Chapter 25 An Approach to Educational Data Mining Model Accuracy Improvement Using Histogram Discretization and Combining Classifiers into an Ensemble
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    Chapter 26 Performance Evaluation for Four Types of Machine Learning Algorithms Using Educational Open Data
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    Chapter 27 Moving from Hardcopy to Online Submission with a Learning Analytics Enriched Rubric—LAe-R: Students’ Perspective
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    Chapter 28 Use of Mobile Devices—A Survey Study
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    Chapter 29 SEMOGRAPH Information System as a Platform for Network-Based Linguistic Research: A Case Study of Verbal Behavior of Social Network Users
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    Chapter 31 Route Navigation System—An App-Based Learning Tool for Bus Drivers
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    Chapter 32 Information Technology and Teaching Culture: Application in Classroom
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    Chapter 33 Overview of Recommendation Systems
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    Chapter 34 Upgrading How Technology Is Taught in Undergraduate Education, a Case Study
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    Chapter 35 Teaching Entrepreneurship and Innovation to University Students
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    Chapter 37 Reflection of Students’ Language Needs Analysis in the e-Course—Comparative Study
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    Chapter 38 Investigation into Parents’ Impressions of Computer Programming with Comparisons Before and After a Programming Workshop
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    Chapter 39 The Impact of Feedback on the Structuring Process of Study Courses
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    Chapter 40 Analysis and Classification of University Centers for Students with Disabilities
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    Chapter 41 Augmented Reality as a Higher Education Form for Students with Delimited Ability
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    Chapter 42 Smart University: Software/Hardware Systems for College Students with Severe Motion/Mobility Issues
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    Chapter 43 Design Guidelines for Serious Games Targeted to People with Autism
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    Chapter 45 Text-to-Voice and Voice-to-Text Software Systems and Students with Disabilities: A Research Synthesis
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    Chapter 46 Testing as a Feedback in a Smart University and as a Component of the Identification of Smart Systems
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    Chapter 47 Smart University Development Evaluation Models
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    Chapter 48 Modeling of Scientific Intercultural Communication of the Teaching Staff at Smart University
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    Chapter 50 Modeling the Assessment of Definition of a Smart University Infrastructure Development Level
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    Chapter 51 Smart University: Assessment Models for Resources and Economic Potential
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    Chapter 52 Identification of Key Factors for a Development of Smart Organization
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    Chapter 53 Application of Multivariate Statistical Methods for Assessment of Educational Competencies
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    Chapter 54 Modeling, Selection, and Teaching Staff Training at Higher School
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    Chapter 55 The Remote Process Support for Collaborative Work
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Title
Smart Education and e-Learning 2019
Published by
Springer Singapore, January 2019
DOI 10.1007/978-981-13-8260-4
ISBNs
978-9-81-138259-8, 978-9-81-138260-4
Editors

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

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 24%
Student > Ph. D. Student 13 18%
Unspecified 11 15%
Student > Bachelor 7 10%
Student > Doctoral Student 6 8%
Other 18 25%
Readers by discipline Count As %
Computer Science 32 44%
Unspecified 12 17%
Engineering 9 13%
Arts and Humanities 4 6%
Psychology 3 4%
Other 12 17%