Investigating Chinese HE EFL Classrooms
Using Collaborative Learning to Enhance Learning
Published on 17. November 2014
Book
Hardback
XXVII, 310 pages
978-3-662-44502-0 (ISBN)
Description
This book presents a study on corpus-driven distribution as the main method of prediction, concentrating on individual semantic features to predict the senses of non-defined words by using corpora and tools, such as the Chinese Gigaword Corpus, HowNet, Chinese Wordnet, and XianDai HanYu CiDian (Xian Han). With the help of these corpora, the study determines the collocation clusters of four target words: chi1 "eat," wan2 "play," huan4 "change" and shao1 "burn" through character and concept similarities. The results of this sense prediction study demonstrate that it was able to use off-line tasks to test some participants' intuition, which supports the theory that different clusters can represent different senses when pursuing a corpus-based, computational approach.
More details
Edition
2015 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
30 s/w Abbildungen, 17 farbige Abbildungen
XXVII, 310 p. 47 illus., 17 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 24 mm
Weight
676 gr
ISBN-13
978-3-662-44502-0 (9783662445020)
DOI
10.1007/978-3-662-44503-7
Schweitzer Classification
Other editions
Additional editions
Book
08/2016
Springer
€53.49
Shipment within 7-9 days
E-Book
11/2014
1st Edition
Springer
€53.49
Available for download
Person
Professor Mitsuo Gen is currently a professor of the Graduate School of Information, Production and Systems at Waseda University. He previously worked as a lecturer and professor at Ashikaga Institute of Technology. His research interests include genetic and evolutionary computation; fuzzy logic and neural networks; supply chain network design; optimization for information networks; and advanced planning and scheduling (APS).
Runwei Cheng is a Doctor of Engineering and currently works for JANA Solutions, Inc.
Lin Lin is currently a PhD candidate and research assistant at Waseda University, where he gained his MSc from the Graduate School of Information, Production and Systems. His research interests include hybrid genetic algorthims; neural networks; engineering optimization; multiobjective optimization; applications of evolutionary techniques; production and logistics; communication networks; image processing and pattern recognition; and parallel and distributed systems.
Content
Background to Collaborative Learning and Chinese EFL Education.- Exploring Collaborative Learning: Theoretical and Conceptual Perspectives.- Tenets and Practices of Collaborative Learning in Classrooms: Empirical Supports.- The Collaborative Learning Research Project: From Theory to Practice.- Research Instruments.- Evaluating the Use and Effectiveness of Collaborative Learning: Students' Interactional Behaviors.- Collaboration as Conducive to Learning: Students' Preferences for Learning and Attainments.- Collaborative Learning in Practice: Toward a Pedagogy.- Attitudes and Motivation.- Conclusions: Toward a Broader Pedagogy.