Jianhua Zhao

Work place: School of Information Technology in Education, South China Normal University, Guangzhou, 510631, China

E-mail: jhuazhao@gmail.com

Website:

Research Interests: Information Systems, Multimedia Information System, Social Information Systems

Biography

Jianhua Zhao was graduated from School of Educational Studies, the University of Sheffield, United Kingdom and successful gained PhD in the field of Education in 2006. He also acquired the first PhD from School of Information Technology in Education, the University of South China Normal, China in 2002. He is a Professor at the School of Information Technology in Education, the University of South China Normal from 2007. He was a research associate at the Centre for Studies of Advanced Learning Technology, Department of Education, Lancaster University, United Kingdom from 2005 ~ 2007. He was also a PhD Fellow at Institute of Advanced Studies, United Nations University from 2000~2001, Tokyo, Japan. He has published more than 100 journal papers and 6 books in the field of e-learning, educational technology, computers in education, intelligent tutoring system, instructional design, and teacher education (professional development. Current, he is a leader for eight national and international research projects. Prof. Zhao is a director of the Institute of Learning Sciences and Technologies (ILST), an execute committee member of Global Chinese Society for Computers in Education (GCSCE).

Author Articles
Analyzing the Influencing Factors of Group Learning: A Mixed Approach

By Jianhua Zhao Yinjian Jiang

DOI: https://doi.org/10.5815/ijmecs.2009.01.03, Pub. Date: 8 Oct. 2009

The purpose of this paper is to explore which factors influence group learning content, and content analysis is chosen as the research method. The sample for this study is the literature of group learning. 35 books and 1 paper was examined. The coding system for the content analysis is an opened and a self-expanded system in this study, which means that the original coding system can be updated if the new coding item is developed during the data collection. A total of 62 influencing factors are identified in terms of the content analysis. In order to organise them systematically, we categorised them into four aggregations according to one model of the group learning processes:planning, organising, learning process, and evaluation. The result of this study may be used to design a questionnaire and to model group learning process in our further research.

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