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New Horizons in Web Based Learning

Overview of attention for book
Cover of 'New Horizons in Web Based Learning'

Table of Contents

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    Book Overview
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    Chapter 1 A Quality Assurance Support System for Learning-Object Development
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    Chapter 2 Timeliner: Supporting Collaborative Scientific Writing
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    Chapter 3 Optimization of Industrial Neural Network Simulators for GPGPUs
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    Chapter 4 Personal Learning Environment for Education: A Review and Future Directions
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    Chapter 5 Didactical Competence Modeller: Dynamic Story Creation for Serious Games
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    Chapter 6 ESITrace: A User Side Trace and Annotation Collection Tool
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    Chapter 7 An Iterative Approach towards Interactive Digital Narrative – Early Results with the Advanced Stories Authoring and Presentation System
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    Chapter 8 HCI Model for Culturally Useful Knowledge Sharing
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    Chapter 9 Design and Evaluation of Collaborative Learning Management System (CLMS) Framework for Teaching Technical Subject
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    Chapter 10 A “Milky Way Research Trend” System for Survey of Scientific Literature
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    Chapter 11 A Personalized Quiz Game Based on Multi-Agent System
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    Chapter 12 Development Research on Instructional Design Competencies Testing Scale for Student Teachers
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    Chapter 13 Preliminary Study to the Inquiry Learning Social Network Supported by the Internet of Things
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    Chapter 14 Blended Learning Support with Social Media Empowered by Ubiquitous Personal Study
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    Chapter 15 Activity Theory as a Design Framework for Collaborative Learning Using Google Applications Technology
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    Chapter 16 A Framework for Integrating Motivational Techniques in Technology Enhanced Learning
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    Chapter 17 Different Roles of Agents in Personalized Programming Learning Environment
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    Chapter 18 E-Learning 3.0: Anyone, Anywhere, Anytime, and AI
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    Chapter 19 A Web Content Accessibility Evaluation Process for Learning Objects in the Context of a Virtual Learning Environment
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    Chapter 20 Virtual Laboratory for the Study of Kinematics in Engineering Faculties
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    Chapter 21 Effect of Multiplayer Interactive Violent Video Games on Players’ Explicit and Implicit Aggression
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    Chapter 22 Towards a Quality Model for Open Courseware and Open Educational Resources
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    Chapter 23 Developing Online Collaborative Games for e-Learning Environments
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    Chapter 24 Supporting Knowledge Transfer and Mentoring in Companies by e-Learning and Cloud Computing
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    Chapter 25 Wiki Tools in Teaching English for Specific (Academic) Purposes – Improving Students’ Participation
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    Chapter 26 Ad-Hoc Business Process Management in Enterprises as Expert Communities
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    Chapter 27 Learning in the Smart City: A Virtual and Augmented Museum Devoted to Chaos Theory
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    Chapter 28 Collaborative Processes in Virtual Learning Spaces – Does Structuring Make a Difference?
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    Chapter 29 Supporting Collaborative Creativity with Educational Visualizations in 3D Virtual Worlds
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    Chapter 30 Fuzzy Enhancement of Creativity in Collaborative Online Learning
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    Chapter 31 Creative Re-instrumentation of Collective Learning Activity
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    Chapter 32 Using Quality Criteria for Assessing and Comparing Open Courseware
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    Chapter 33 The Development of a Scale to Assess Creative Collaboration via Online Tools
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    Chapter 34 Computer-Based Creative Collaboration in Online Learning
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    Chapter 35 Trust for Supporting Learning Creativity in Online Learning Communities
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    Chapter 36 Exploring Creativity with e-Learning 2.0: A Personal Account
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    Chapter 37 A Student Perception Related to the Implementation of Virtual Courses
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 (68th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
4 tweeters
googleplus
1 Google+ user

Readers on

mendeley
95 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
New Horizons in Web Based Learning
Published by
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-662-43454-3
ISBNs
978-3-66-243453-6, 978-3-66-243454-3
Editors

Chiu, Dickson K. W., Wang, Minhong, Popescu, Elvira, Li, Qing, Lau, Rynson

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 2%
Unknown 93 98%
Readers by discipline Count As %
Computer Science 1 1%
Social Sciences 1 1%
Unknown 93 98%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 February 2017.
All research outputs
#3,708,047
of 14,515,808 outputs
Outputs from Lecture notes in computer science
#1,740
of 7,464 outputs
Outputs of similar age
#81,772
of 264,792 outputs
Outputs of similar age from Lecture notes in computer science
#11
of 90 outputs
Altmetric has tracked 14,515,808 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 7,464 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 76% 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 264,792 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 68% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.