Keynote: Traditional large scale educational assessment and the incorporation of digitally derived information

Traditional large scale educational assessment and the incorporation of digitally derived information
Prof. Harvey Goldstein, Professor, University of Bristol
14:30-15:30, 9 June 2017 (Friday)
Rayson Huang Theatre, The University of Hong Kong
Medium of instruction:
English 英語
Learning analytics and educational data mining;
Learning and assessment at scale (OER, MOOCs, E-learning, etc.)
Prof. Nancy LAW, Professor, Faculty of Education, The University of Hong Kong

Slides & Video


The talk will briefly review the current educational assessment scene, especially the role and importance of international comparative studies such as PISA. It will examine their role in educational policy formulation within the general context of globalisation. There appears to be a role for digitally acquired information to enhance the information provided by such studies, and the advantages and disadvantages of exploiting such information as well as the ethical issues, will be explored.

About the speaker

Harvey Goldstein was formerly Professor of Statistical Methods at the Institute of Education from 1997-2005. He is currently Professor of Social Statistics at the University of Bristol where he has a part time appointment and also a part time professorial appointment at the UCL institute of Child health and is a visiting professor at the London School of Hygiene. He is a visiting professor at the Australian catholic University (Brisbane) for the period 2014-2017.

He has been a member of the Council of the Royal Statistical Society, and chair of its Educational Strategy Group. He currently is a joint editor of the Journal of the Royal statistical Society, series A. He was awarded the RSS Guy medal in silver in 1998 and was elected a fellow of the British Academy in 1997. He has been the principal applicant on several major ESRC funded research projects since 1981.

He has several research interests. One is in the use of statistical modelling techniques in the construction and analysis of educational tests with a particular interest in institutional and international comparisons. He has written extensively on the use (and misuse) of item response modelling in educational testing and the use and abuse of performance indicators (league tables) in the public sector.

The second, more extensive, interest is in the methodology of multilevel modelling. His major recent book, Multilevel Statistical Models (Wiley, 2011, 4th  edition) is the standard reference text in this important area of statistical data analysis.

Most recently he has helped to develop efficient methods for handling missing data in multilevel models, procedures for unbiased and efficient record linkage of large datasets and procedures for maintaining data integrity while ensuring privacy in the release and analysis of big data sets.