Asst. Prof. Junjun Chen, Ph.D. 
https://oraas0.ied.edu.hk/rich/web/people_details.jsp?pid=147035
The Hong Kong Institute of Education, China
Junjun CHEN Ph.D.
Assistant Professor
Department of Education Policy and Leadership
The Hong Kong Institute of Education
10 Lo Ping Road, Tai Po, NT, HONG KONG SAR
EDUCATIONAL BACKGROUND
2006 – 2010 Ph.D. in Education, Faculty of Education, University of Auckland, New Zealand. The thesis topic isTeachers’ Conceptions of Excellent Teaching (mixed methods);
2004 – 2005 MSc in School Effectiveness and Improvement (Hons, taught in English),
Faculty of Psychology, Education and Sociology, University of Groningen, the Netherlands. The thesis topic is Teachers’ Job Satisfaction and Its Relationship with Their Retention (quantitative method);
1994 – 1998 BA in Education, School of Physical Education, Northeast Normal University, China.
RESEARCH INTEREST
My research focus is on measuring how teachers conceive effective teaching and how to assist teachers in improving their teaching. In pursuing these concerns, I am interested in measuring teachers’ and students’ affective and cognitive attitudes, how their attitudes link to teaching practices, student engagement, and academic performance. I was a co-principal investigator for an on-going classroom research project about New Zealand teachers’ use of the Science Learning Hub website material and its impact on science teaching, learning and student engagement. Currently, I am involved in an international project, Reshaping educational practice for improvement in Hong Kong and England: How schools mediate government reforms and a regional project, teacher emotion at primary school at Hong Kong and Mainland China.
My research methodologies are mixed in nature. I am experienced for managing large-scale surveys and analysing quantitative data using techniques such as exploratory factor analysis (EFA), confirmatory factor analysis (CFA), Effect Size and Structural Equation Modelling (SEM). I am beginning to get familiar with Hierarchical Linear Modelling (HLM). I have also utilized qualitative methods including classroom observations, interviews, focus group discussions, and archival data. I can use analytic software such as SPSS, Amos, Nvivo, and Excel.