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Innovations in Smart Learning

Overview of attention for book
Innovations in Smart Learning
Springer, Singapore

Table of Contents

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    Book Overview
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    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
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
6 X users
facebook
2 Facebook pages

Readers on

mendeley
248 Mendeley
citeulike
2 CiteULike
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Title
Innovations in Smart Learning
Published by
Lecture Notes in Educational Technology, January 2017
DOI 10.1007/978-981-10-2419-1
ISBNs
978-9-81-102418-4, 978-9-81-102419-1
Editors

Elvira Popescu, Kinshuk, Mohamed Koutheair Khribi, Ronghuai Huang, Mohamed Jemni, Nian-Shing Chen, Demetrios G. Sampson

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Unknown 245 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 19%
Student > Ph. D. Student 39 16%
Student > Bachelor 38 15%
Lecturer 24 10%
Student > Doctoral Student 20 8%
Other 37 15%
Unknown 44 18%
Readers by discipline Count As %
Computer Science 81 33%
Social Sciences 27 11%
Engineering 27 11%
Design 9 4%
Arts and Humanities 9 4%
Other 47 19%
Unknown 48 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 March 2017.
All research outputs
#6,733,191
of 26,411,386 outputs
Outputs from Lecture Notes in Educational Technology
#11
of 54 outputs
Outputs of similar age
#110,626
of 427,678 outputs
Outputs of similar age from Lecture Notes in Educational Technology
#2
of 3 outputs
Altmetric has tracked 26,411,386 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 54 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 79% of its peers.
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 427,678 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.