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State-of-the-Art and Future Directions of Smart Learning

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Cover of 'State-of-the-Art and Future Directions of Smart Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Influencing Metacognition in a Traditional Classroom Environment Through Learning Analytics
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    Chapter 2 Predicting Newcomer Integration in Online Knowledge Communities by Automated Dialog Analysis
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    Chapter 3 SCALE: A Competence Analytics Framework
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    Chapter 4 VAT-RUBARS: A Visualization and Analytical Tool for a Rule-Based Recommender System to Support Teachers in a Learner-Centered Learning Approach
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    Chapter 5 Improving Learning Style Identification by Considering Different Weights of Behavior Patterns Using Particle Swarm Optimization
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    Chapter 6 Designing Mobile Games for Improving Self-esteem in Children with ADHD
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    Chapter 7 Smart Classroom 2.0 for the Next Generation of Science Learning in Taiwan
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    Chapter 8 Software-Defined Networking (SDN)-Based Network Services for Smart Learning Environment
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    Chapter 9 Design of Theoretical Model for Smart Learning
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    Chapter 10 AlecsoApps: Toward Empowering Mobile Applications Development in the Arab World
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    Chapter 11 Designing Creativity Developing Activities and Studying the Effects on Students in Web-Based Learning Environments
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    Chapter 12 Toward a Learning Ecosystem to Support Flipped Classroom: A Conceptual Framework and Early Results
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    Chapter 13 Historical Overview of Adaptive e-learning Approaches Focusing on the Underlying Pedagogy
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    Chapter 14 Using the Hybrid Social Learning Network to Explore Concepts, Practices, Designs and Smart Services for Networked Professional Learning
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    Chapter 15 Quantitative Analysis of Newcomer Integration in MMORPG Communities
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    Chapter 16 Designing a Learning Recommender System by Incorporating Resource Association Analysis and Social Interaction Computing
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    Chapter 17 Investigating Students’ Blogging Activity in Project-Based Learning Settings
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    Chapter 18 How Video Usage Styles Affect Student Engagement? Implications for Video-Based Learning Environments
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    Chapter 19 Student Engagement Pattern in Wiki- and Moodle-Based Learning Environments—A Case Study on Romania
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    Chapter 20 Integrating Motivational Techniques into Learning Management Systems
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    Chapter 21 A Proposed Model for Creating Authentic Learning Objects for Indigenous Learners
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    Chapter 22 An Embodied Design with Collective Intelligence for Creating Interactive Video Lectures
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    Chapter 23 Collaborative Learning through Creative Video Composition on Distributed User Interfaces
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    Chapter 24 Students’ Learning Environments for Distance International Collaboration
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    Chapter 25 The Impact of Assigned Roles and Cross-Age Peer Tutors on Knowledge Elaboration, Knowledge Convergence, and Group Performance in Synchronous Online Learning Environment
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    Chapter 26 Toward Non-intrusive Assessment in Dialogue-Based Intelligent Tutoring Systems
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    Chapter 27 May I Peer-Review Your Web Design Project?
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    Chapter 28 ICT Architecture for Supporting Elder Employees to Make Conscious Decisions Under Time Pressure
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    Chapter 29 Study on Teacher–Student Interaction in Flipped Classroom Based on Video Annotation Learning Platform
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    Chapter 30 Design and Implementation of Self-regulated Learning Achievement: Attracting Students to Perform More Practice with Educational Mobile Apps
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    Chapter 31 MUSIX: Learning Analytics in Music Teaching
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    Chapter 32 Metric-Based Approach for Selecting the Game Genre to Model Personality
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    Chapter 33 Toward a Generic e-Assessment Process: Using Cloud Computing
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    Chapter 34 Public Key Infrastructure for e-Assessment
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    Chapter 35 Reflection on Design-Based Research: Challenges and Future Direction
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    Chapter 36 Optimal Composition of e-Learning Personalization Resources
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    Chapter 37 MOOCs in Higher Education—Flipped Classroom or a New Smart Learning Model?
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    Chapter 38 Enhancing Employability Through e-Learning Communities: From Myth to Reality
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    Chapter 39 Performance Augmentation Through Ubiquitous and Adaptive Learning and Work Environments
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    Chapter 40 Peer Review from Teachers’ Perspective
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    Chapter 41 Metrics for Automated Review Classification: What Review Data Show
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    Chapter 42 What Peer-Review Systems Can Learn from Online Rating Sites
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    Chapter 43 Peer Review Support in a Virtual Learning Environment
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    Chapter 44 Grading Open-Ended Questions in an Educational Setting, via Non-exclusive Peer Evaluation
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    Chapter 45 A Wiki-Based Approach to Computer-Assisted Translation for Collaborative Language Learning
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    Chapter 46 Integrating Rich Learning Applications in LMS
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    Chapter 47 Three Uses of the Online Social Programming Training System: On Nature and Purpose of Spreading Algorithmic Problem Solving
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    Chapter 48 Semiautomatic Annotation of MOOC Forum Posts
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    Chapter 49 Virtual Social Spaces for Practice and Experience Sharing
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    Chapter 50 The Open Courses Project at the Eastern Macedonia and Thrace Institute of Technology
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    Chapter 51 Discovering Interesting Patterns in an e-Learning System
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    Chapter 52 Involving Learners in Content Analysis to Empower A Community of Inquiry
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    Chapter 53 A Paper Recommendation System with ReaderBench: The Graphical Visualization of Semantically Related Papers and Concepts
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    Chapter 54 A Tutorial on Machine Learning in Educational Science
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    Chapter 55 A Smart Environment Supporting the Creation of Juxtaposed Videos for Learning
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    Chapter 56 An Interactive Video-Based Learning Environment Supporting Learning Analytics: Insights Obtained from Analyzing Learner Activity Data
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    Chapter 57 Investigating Determinants of Video-Based Learning Acceptance
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    Chapter 58 Visualization Improvement in Learning Analytics Using Semantic Enrichment
Attention for Chapter 48: Semiautomatic Annotation of MOOC Forum Posts
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Citations

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Readers on

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Chapter title
Semiautomatic Annotation of MOOC Forum Posts
Chapter number 48
Book title
State-of-the-Art and Future Directions of Smart Learning
Published by
Springer, Singapore, January 2016
DOI 10.1007/978-981-287-868-7_48
Book ISBNs
978-9-81-287866-3, 978-9-81-287868-7
Authors

Weizhe Liu, Łukasz Kidziński, Pierre Dillenbourg

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 19%
Student > Ph. D. Student 4 19%
Professor 2 10%
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Other 3 14%
Unknown 4 19%
Readers by discipline Count As %
Computer Science 10 48%
Engineering 2 10%
Agricultural and Biological Sciences 2 10%
Philosophy 1 5%
Environmental Science 1 5%
Other 2 10%
Unknown 3 14%