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Innovations in Smart Learning

Overview of attention for book
Cover of 'Innovations in Smart Learning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Examining the Relationships between Foreign Language Anxiety and Attention during Conversation Tasks
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    Chapter 2 A review of using Augmented Reality in Education from 2011 to 2016
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    Chapter 3 A New MOOCs’ Recommendation Framework based on LinkedIn Data
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    Chapter 4 Towards a Smart University through the Adoption of a Social e-Learning Platform to Increase Graduates’ Employability
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    Chapter 5 A 3-D Educational Game for enhancing learners’ performance in A star Algorithm
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    Chapter 6 A 3D Learning Game for Representing Artificial Intelligence Problems
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    Chapter 7 Evaluation of online assignments and quizzes using Bayesian Networks
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    Chapter 8 Mindcraft : A novel mind mapping tool under Moodle platform
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    Chapter 9 Assessing Learners’ Progress in a Smart Learning Environment using Bio-Inspired Clustering Mechanism
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    Chapter 10 Toward the selection of the appropriate e-learning personalization strategy
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    Chapter 11 A Conceptual Framework for a Smart Learning Engine
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    Chapter 12 Investigation of Key School-related Indicators Influencing ICT in K-12 Education
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    Chapter 13 Towards a Reference Architecture for Smart and Personal Learning Environments
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    Chapter 14 The ALECSO Smart Learning Framework
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    Chapter 15 Learning to Analyze Medical Images: A Smart Adaptive Learning Environment for an Ill-Defined Domain
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    Chapter 16 An Architecture for Smart Lifelong Learning Design
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    Chapter 17 Relevant Metrics for Facial expression recognition in Intelligent Tutoring System
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    Chapter 18 Toward an Adaptive Architecture for Integrating Mobile Affective Computing to Intelligent Learning Environments
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    Chapter 19 Requirements Engineering for Pervasive Games Based Smart Learning Systems
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    Chapter 20 MOOCs Recommender System: A Recommender System for the Massive Open Online Courses
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    Chapter 21 Integrating a Peer Evaluation Module in a Social Learning Platform
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    Chapter 22 The Effects of Perceived Innovation Game Attributes by Learners on Learning Performance in a Game-Based Achievement Learning System
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    Chapter 23 Automatic Extraction of Smart Game Based Learning Design Expertise: An Approach Based on Learning Ontology
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    Chapter 24 A Study On Two Hint-level Policies in Conversational Intelligent Tutoring Systems
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    Chapter 25 Dialogue Act Classification In Human-to-Human Tutorial Dialogues
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    Chapter 26 Towards Applying Keller’s ARCS Model and Learning by doing strategy in Classroom Courses
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    Chapter 27 English Vocabulary Learning Performance and Brainwave Differences: The Comparison Between Gesture-Based and Conventional Word-card
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    Chapter 28 The Effect of Children Learning English Vocabulary through a Gesture-Based System
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    Chapter 29 Online Test System to Reduce Teachers’ Workload for Item and Test Preparation
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    Chapter 30 Breadth and Depth of Learning Analytics
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    Chapter 31 Educational Resource Information Communication API (ERIC API): The Case of Moodle and Online Tests System Integration
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    Chapter 32 The Academic Analytics Tool: Workflow and Use Cases
Attention for Chapter 1: Examining the Relationships between Foreign Language Anxiety and Attention during Conversation Tasks
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Mentioned by

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1 Facebook page

Citations

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23 Dimensions

Readers on

mendeley
17 Mendeley
Summary Facebook Dimensions citations
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Chapter title
Examining the Relationships between Foreign Language Anxiety and Attention during Conversation Tasks
Chapter number 1
Book title
Innovations in Smart Learning
Published in
Lecture Notes in Educational Technology, September 2016
DOI 10.1007/978-981-10-2419-1_1
Book ISBNs
978-9-81-102418-4, 978-9-81-102419-1
Authors

Hao-Cheng Chang, Wei-Chieh Fang, Bo-Han Yang, Bo-Ru Luo, Sie Wai Chew, Nian-Shing Chen

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Postgraduate 2 12%
Student > Ph. D. Student 1 6%
Lecturer > Senior Lecturer 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 7 41%
Readers by discipline Count As %
Arts and Humanities 2 12%
Social Sciences 2 12%
Psychology 2 12%
Linguistics 1 6%
Computer Science 1 6%
Other 2 12%
Unknown 7 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 November 2016.
All research outputs
#23,324,704
of 25,992,468 outputs
Outputs from Lecture Notes in Educational Technology
#1
of 1 outputs
Outputs of similar age
#291,750
of 330,955 outputs
Outputs of similar age from Lecture Notes in Educational Technology
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.2. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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