Intelligent Learning Systems and Advancements in Computer-Aided Instruction: Emerging Studies: Emerging Studies

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Jin, Qun
IGI Global, Dec 31, 2011 - Education - 378 pages
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As the field of distance and online learning continues to grow, it is important to consider the relationship between students and technology and to find the best possible means to deliver computer-aided instruction. Educational technologists and instructional designers seek to grow the body of research in this field by developing new tools and methodologies that can be implemented in the traditional or virtual classroom.

Intelligent Learning Systems and Advancements in Computer-Aided Instruction: Emerging Studies reviews computational models and technologies for distance education, focusing on systems, infrastructures, and frameworks for delivering quality education. Researchers and educators will benefit from this comprehensive insight into new methods and trends in multimedia technology, learning models, and individualized distance learning.

 

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Contents

Modeling Social Influences in a Knowledge Management Network
1
Adapting SCORM Compliant LOs in a Knowledge Engineering Scenario
17
Ontologies in Intelligent Learning Systems
31
EduTutor
49
The Preliminary Investigation of the Factors that Influence the ELearning Adoption in Higher Education Institutes
64
Section 2
75
An Adaptive Course Generation Framework
76
Integrating Individual Differences in Adaptive Educational Systems
94
Building Integrated ELearning Environment Using Cloud Services and Social Networking Sites
214
Revealing Student Blogging Activities Using RSS Feeds and LMS Logs
234
LargeScale ServerSide Infrastructure for ELearning
250
Section 4
268
Coping with Accessibility and Usability Challenges of Online Technologies by Blind Students in Higher Education
269
The ART Activities Resources Technological Supports in OnSite and Online Learning and Students Perceptions of Acquisition of Thinking and Team...
287
A Research of Applying Learning Diagnosis Diagram in Online Learning Diagnosis
305
WebBased TwoTier Diagnostic Test and Remedial Learning Experiment
323

OntologyBased Multimedia Authoring Tool for Adaptive ELearning
119
Enhancing Adaptive Learning and Assessment in Virtual Learning Environments with Educational Games
144
An Educational Game Helping Learners to Distinguish Similar Chinese Characters while Minimizing Human Efforts in Game Content Creation
164
Development of Adaptive Kanji Learning System for Mobile Phone
181
Section 3
193
Mashup of ELearning Services
194
ELearning in Engineering Education
346
Compilation of References
360
About the Contributors
393
Index
403
Copyright

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About the author (2011)

Qun Jin is a Computer Science Professor at the Networked Information Systems Lab, Department of Human Informatics and Cognitive Sciences, Faculty of Human Sciences, Waseda University, Japan. He has been engaged extensively in research works on computer science, Information Systems, and Internet computing. His recent research interests include human-centric Information Systems, contextaware ubiquitous personal media, human-media interaction, socially intelligent agents, semantic P2P networking and applications, groupware, scalable knowledge information sharing systems, and e-learning support. He received a BSc in process control from Zhejiang University, China, a MSc in Computer Science from Hangzhou Institute of Electronic Engineering, and the Fifteenth Research Institute of Ministry of Electronic Industry, China, and a PhD in Computer Science from Nihon University, Japan, in 1982, 1984, and 1992, respectively. He worked at Hangzhou Institute of Electronic Engineering (1984–1989), INES Corporation (1992–1995), Tokushima University (1995–1999), and the University of Aizu (1999–2003). During the summer of 1997, he was a short-term scholar in the Department of Electrical and Computer Engineering, Boston University, USA. Since April 2003, he has been at the current position. Contact him at jin@waseda.jp. [Editor]

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