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Advances in Web-Based Learning – ICWL 2010

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Cover of 'Advances in Web-Based Learning – ICWL 2010'

Table of Contents

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    Book Overview
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    Chapter 1 Supporting Adaptive Learning with a Student Model Repository and Shared Adaptive Variables
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    Chapter 2 Advances in Web-Based Learning – ICWL 2010
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    Chapter 3 Assisting the Authoring Process of IMS-LD Using Web Parsing Technique
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    Chapter 4 Dynamic Navigation for Personalized Learning Activities Based on Gradual Adaption Recommendation Model
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    Chapter 5 An Advanced Learning Environment Aided by Recognition of Multi-modal Social Signals
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    Chapter 6 An Ontology-Based Framework for Personalized Adaptive Learning
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    Chapter 7 Personalized Curriculum Recommender System Based on Hybrid Filtering
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    Chapter 8 Evaluation of Learning Outcomes
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    Chapter 9 Incorporating an Automatic Judge into Blended Learning Programming Activities
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    Chapter 10 Visualizing Activities for Self-reflection and Awareness
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    Chapter 11 Web-Based Enhanced Learning Style Index with Integration into an e-Learning System
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    Chapter 12 Gap Detection in Web-Based Adaptive Educational Systems
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    Chapter 13 Bridging the Knowledge Gap between Research and Education through Textbooks
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    Chapter 14 Predicting Learning Styles in a Conversational Intelligent Tutoring System
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    Chapter 15 Specifying a Programming Exercises Evaluation Service on the e-Framework
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    Chapter 16 A Supplement for Learning Herbal Medicine Using a Web-Based Tool and Social Network
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    Chapter 17 Using Social Software for Teamwork and Collaborative Project Management in Higher Education
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    Chapter 18 Construction of the Intelligent Tutoring System from the View of Distributed Cognition
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    Chapter 19 A Scaffolding Support System for English Essay Reading
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    Chapter 20 Learning Content Adaptation for m-Learning Systems: A Multimodality Approach
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    Chapter 21 Supporting Active Learning in CLIL through Collaborative Search
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    Chapter 22 Supporting Flexible Competency Frameworks
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    Chapter 23 Extending Learning Objects by Means of Social Networking
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    Chapter 24 Improving Hybrid Learning of Physical Education by Video Review
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    Chapter 25 An Emotion Regulation Model in an E-Learning Environment
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    Chapter 26 Delivering QTI Self-tests to Personal Learning Environments Using Wookie Widgets
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    Chapter 27 e-Training DS: An Authoring Tool for Integrating Portable Computer Science Games in e-Learning
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    Chapter 28 Not Yet Ready for Everyone: An Experience Report about a Personal Learning Environment for Language Learning
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    Chapter 29 eCH, A Course Help Tool for Teacher
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    Chapter 30 Collaborative Learning by Means of Multiplayer Serious Games
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    Chapter 31 CONSPECT: Monitoring Conceptual Development
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    Chapter 32 LABTA: An Agent-Based Intelligent Teaching Assistant for Experiment Courses
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    Chapter 33 An Open Model for Learning Path Construction
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    Chapter 34 Automatically Constructing a Compact Concept Map of Dance Motion with Motion Captured Data
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    Chapter 35 Using the Petri Nets for the Learner Assessment in Serious Games
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    Chapter 36 Web-Based Probabilistic Retrieval of Chinese Calligraphic Character Images: An Efficiency Study
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    Chapter 37 An Effort to Boost Building an Attentive Service Environment for the Participants in Smart Classrooms
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    Chapter 38 A Study on the Effectiveness of Cooperative Learning in College English Writing
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    Chapter 39 Comparing Learning Results of Web Based and Traditional Learning Students
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    Chapter 40 A Personalized Assessment System Based on Item Response Theory
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    Chapter 41 Open Learning: A Framework for Sharable Learning Activities
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    Chapter 42 Studies on Sustainable Design Strategies of the Product-Service System for the Web-Based English Learning
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    Chapter 43 Design and Implementation of Collaboration Support in Virtual Experiment Environment
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    Chapter 44 Cross-Cultural Multimedia Language Learning: Case Study and Analysis
Overall attention for this book and its chapters
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Mentioned by

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2 X users

Citations

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Readers on

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66 Mendeley
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Title
Advances in Web-Based Learning – ICWL 2010
Published by
ADS, November 2010
DOI 10.1007/978-3-642-17407-0
ISBNs
978-3-64-217406-3, 978-3-64-217407-0
Editors

Luo, Xiangfeng, Spaniol, Marc, Wang, Lizhe, Li, Qing, Nejdl, Wolfgang, Zhang, Wu

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 5%
United States 3 5%
Portugal 1 2%
Malaysia 1 2%
Germany 1 2%
United Kingdom 1 2%
Belgium 1 2%
Romania 1 2%
Sweden 1 2%
Other 0 0%
Unknown 53 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Student > Bachelor 10 15%
Student > Master 9 14%
Researcher 8 12%
Professor 4 6%
Other 22 33%
Readers by discipline Count As %
Computer Science 39 59%
Social Sciences 12 18%
Psychology 4 6%
Engineering 2 3%
Linguistics 2 3%
Other 7 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 September 2016.
All research outputs
#14,851,325
of 23,041,514 outputs
Outputs from ADS
#27,859
of 37,451 outputs
Outputs of similar age
#140,028
of 181,691 outputs
Outputs of similar age from ADS
#492
of 644 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 181,691 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 644 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.