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This paper describes the design and evaluation of a computer-assisted learning program called Link, which was designed to be used by psychology students to review their understanding of correlation. Unlike existing computer-assisted learning programs that were reviewed, Link makes use of data from authentic research studies in psychology and provides learner activities that are specifically designed to address students' misconceptions about correlation. A summative evaluation study of Link involving fifty psychology students was carried out to assess the effect on students' understanding of correlation. It was found that the use of Link significantly contributed to students' general understanding of correlation. However, it was found that students use of paper-based instructional materials could also achieve this. The implication of this research outcome is considered in relation to the design and use of computer-assisted learning applications for statistics in higher education. [ABSTRACT FROM AUTHOR]

In April 1999, academics from the Systems Department at the Open University in UK devised a matrix for assessing third-level systems students-the matrix was based upon systemic practitioner behaviours taught in the course. It was based upon earlier methods that sought to understand and assess student progress based upon evidence of changing behavioural traits rather than the expression of learned responses or 'right' answers. This was the beginning of the being, engaging, contextualizing and managing (BECM) matrix. The European Union-funded research project called Policy Influence of Indicators (POINT) made use of BECM as part of a process for exploring ways in which groups make use of indicators in several domains. This paper tells the story of how BECM was used in the POINT project to gain an understanding of group behaviour by observation of four segregated but linked qualities. Copyright © 2011 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]