Adaptive Comparative Judgement for online grading of project-based assessment

Presented by Professor Richard Kimbell (Goldsmiths College, University of London)

Adaptive Comparative Judgement for online grading of project-based assessment

Adaptive Comparative Judgement (ACJ) offers an alternative to marking, especially for performance assessments for which achievement can be difficult to describe in mark schemes. The ACJ system uses a web-browser to deliver pairs of candidates’ work to judges. The judges apply their subject expertise to select which of the two sets of work is better in terms of meeting appropriate educational objectives. A quality parameter is estimated for each piece of candidates’ work using the Rasch logistic model to analyse the judges’ decisions. Placing the pieces of work on a measurement scale gives them a rank order.

This webinar will look at how ACJ delivered through online technologies can be a valid and highly reliable alternative to traditional analytical marking. This alternative has been underused in educational assessment and measurement in the past, mainly due to the lack of supporting technologies to facilitate large-scale testing for large number of judgements and judges.  

In this webinar Richard will both present and engage with ACJ, explore the problems it solves for both summative and formative assessment and highlight the benefits it offers for peer to peer review with a focus on raising awareness and transforming assessment.

To register for this session please visit the transformation assessment website

Sessions are hosted by Professor Geoffrey Crisp, PVC Education, University New South Wales and Dr Mathew Hillier, Office of the Vice-Provost Learning and Teaching, Monash University, Australia.

Please note all sessions are recorded and made public after the event

1st Jun 2016, 5:00pm to 6:00pm

online only

Public: Event open to all



Christina Kingen