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.
Qun Jin is a professor of networked information systems in the 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 social and human informatics. His recent research interests include e-learning, human-computer interaction, human-centric ubiquitous services computing, information retrieval and recommendation and computing for well-being. He seeks to exploit the rich interdependence between theory and practice in his works with interdisciplinary and integrated approaches.