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

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

Qun Jin
Release Date: December, 2011|Copyright: © 2012 |Pages: 378
DOI: 10.4018/978-1-61350-483-3
ISBN13: 9781613504833|ISBN10: 1613504837|EISBN13: 9781613504840
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Academic Success in Online Learning Environments
  • Adaptive Games
  • Cloud-Based E-Learning
  • Intelligent Learning Systems
  • Knowledge Engineering
  • Large-Scale E-Learning
  • Learning Diagnosis
  • Onsite and Distance Education
  • Student Blogging
  • Technology-Enhanced Learning
Reviews & Statements

This volume offers helpful hints and insightful suggestions for present implementation and practical utilization and future research opportunities of e-learning systems and technologies. It can help researchers and practitioners to become aware of the very wide range of e-learning from interdisciplinary perspectives.

– Qun Jin, Waseda University, Japan
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Editor/Author Biographies
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.
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Editorial Advisory Board
  • Tai-wai Chan, National Central University, Taiwan
  • Shi-Kuo Chang, University of Pittsburgh, USA
  • Tsukasa Hirashima, Hiroshima University, Japan
  • Rory McGreal, Athabasca University, Canada
  • Frits Pannekoek, Athabasca University, Canada
  • Timothy K. Shih, National Central University, Taiwan