Our unique assessment method has been developed following over 30 years of scientific research, looking at how eye movements can offer a new insight into reading as a complex cognitive and linguistic processes, instead of a simple percentile or score.
Our assessment method, invented in January 2013, is based upon data from the Kronoberg project; an entirely unique longitudinal study of reading and writing which began almost 30 years ago at the Karolinska Institute in Stockholm. As part of the project, eye movement recordings were taken for hundreds of children, both with and without reading difficulties. Their academic and reading progress was then followed from year 3 to adulthood.
By analysing eye movement patterns from this study combined with additional research from the Dyslexia Project in the Swedish municipalities of Järfälla and Trosa, our researchers and founders Gustaf Öqvist Seimyr and Mattias Nilsson Benfatto were able to show that the statistical models they had developed could accurately predict which students would experience difficulties after as little as 30 seconds of reading. The cumulative results from their work were published in PLoS One (Benfatto et al., 2016).
” Eye movements provide one of the best ways to measure reading ability at an incredibly in-depth level. “
For a child with high reading attainment (left), their eyes generally move through a passage of text with short, quick movements, whereas for a child with lower reading attainment (right) their eyes tend to move much slower, and they may fixate upon individual words or regress. You can find out more by watching our fantastic research film below.
By studying a child’s spontaneous eye movements as they read, our assessment can precisely determine their reading attainment and highlight potential difficulties from minor differences in the way they process text. Having conducted over 200,000 tests across the globe, analysis by our latest machine learning model is now carried out with an accuracy of over 97 %.
Unlike many other assessments, the large amount of data we have aggregated over time means that we can now offer an insight into reading that takes into account the natural, weekly reading development children are likely to make throughout the academic year.
You can find out more about the peer-reviewed projects behind our assessment method by downloading our Research Guide.
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