Handbook of Research on Hybrid Learning Models: Advanced Tools, Technologies, and Applications

Handbook of Research on Hybrid Learning Models: Advanced Tools, Technologies, and Applications

Indexed In: SCOPUS View 2 More Indices
Release Date: December, 2009|Copyright: © 2010 |Pages: 598
DOI: 10.4018/978-1-60566-380-7
ISBN13: 9781605663807|ISBN10: 1605663808|EISBN13: 9781605663814
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Description & Coverage
Description:

Hybrid learning is now the single-greatest trend in education today due to the numerous educational advantages when both traditional classroom learning and e-learning are implemented collectively.

The Handbook of Research on Hybrid Learning Models: Advanced Tools, Technologies, and Applications collects emerging research and pedagogies related to the convergence of teaching and learning methods. This significant Handbook of Research provides researchers, scholars, students, and professionals access to the latest knowledge related to hybrid learning, discovered and written by an international gathering of e-learning experts.

Coverage:

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

  • Adaptive computer assisted assessment
  • Blended learning practices in higher education
  • Blended learning theories
  • Clustering of large scale e-learning resources
  • Hybrid learning environment
  • Hybrid Learning Models
  • Pedagogy in multimodal blended environment
  • Student lecture writing with Wikis
  • Web-based critiquing systems for essay writing
  • XML-based multimedia podcasting system"
Reviews & Statements

Hybrid learning (or blended learning) combines face-to-face instruction with computer-mediated instruction. This book collects work from Asia, Europe, the US, and Australia by professionals in education and engineering, describing recent ideas and projects in hybrid leaning. Education theories and e-learning and hybrid learning models are addressed, and case studies of software implementation and use are given. ...

– Sci Tech Book News, BookNews.com
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Editor/Author Biographies
Fu Lee Wang is the Head of Department of Business Administration at Caritas Francis Hsu College, Hong Kong. Prior to joining Caritas, he was a Lecturer at the City University of Hong Kong, Hong Kong. He received B.Eng. and M.Phil. from the University of Hong Kong, MBA from Imperial College London, and Ph.D. in Information Systems from the Chinese University of Hong Kong. His research interests include electronic business, information systems and e-learning. He is a member of ACM and IEEE. He has published about 50 articles in journals and proceedings of international conferences, i.e., Journal of the American Society for Information Science and Technology (JASIST), Decision Support Systems (DSS), Information Processing Letters, IW3C, SIGIR, and more.
Joseph Fong is an editorial board member of International Journal of Web Information Systems. He is a fellow of Hong Kong Computer Society, the founder chairman of the [ Hong Kong Computer Society Database Special Interest Group], and the honorable founder chairman of [Hong Kong Web Society], and International Hybrid Learning Society. Fong had worked in the electronic data processing in US for 11 years, and came back to Hong Kong as an academician since 1988. His research interests are in database, data warehousing, data mining XML and Web-Based Learning. His above 100 publications include SCI Journals, Conferences, Patent (US), edited books, and an authored text book on "Information Systems Reengineering and Integration" 2nd edition by Springer in 2006. He had been a program manager of a M.Sc. of Staffordshire University hosted at City University of Hong Kong for a decade and teaches [Data warehousing and data mining], [ Data Engineering], [Database Systems ] and [Introduction to Database Systems ]including XML technology.
Reggie Kwan is the Professor and President of Caritas Institute of Higher Education. Before joining Caritas to build a Catholic university in Hong Kong, he was the Head of Computing and Mathematics at the Open University of Hong Kong. Prior to that, he was the Professor and Chair of Computer Science at Montana Tech of the University of Montana from mid-80’s to late 90’s. He has published six books and over 55 papers in the areas of e-learning.
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