The process step by step

1) Evidence-based Assessment

Our unique assessment is as simple as it is effective and takes just 3 to 5 minutes per student. Two short passages of text from a monitor with an eye tracking device attached, are read: one aloud and one silently. Each passage is then followed by a few comprehension questions.

By monitoring spontaneous eye-movement, we can quickly analyse the key reading components and gain a detailed insight into how reading ability varies when student’s process text across different levels.

Current reading assessments are simply not good enough. When we look at a standard test score in isolation, it tells us a child can’t read. It doesn’t tell us why that child can’t read. Lexplore Analytics gives us much more than a simple score or percentile.

Bernadette McLean – Former Principal of the Helen Arkell Dyslexia Centre, UK

As our objective assessment takes a completely different format to most traditional tests, students tend to thoroughly enjoy their experience. By replacing more time-consuming assessment methods, we can help decrease the overall assessment time of students as well as eliminate marking and administration time for teachers.

I found it more enjoyable than other tests that we do because it was fun and short. The stories were good and I wanted to read them to find out what happened. I liked answering the questions, too.

Pupil – Grade 2, Australia


2) Machine Learning Analysis

Once a student has sat our assessment, the recordings are uploaded to a secure, cloud-based platform. Machine learning analysis then provides teachers with immediate and accurate results without the need for any marking, paperwork or manual evaluation.

Two hundred children went through the assessment process in a week. Within five minutes we had results for reading activity and an accurate attainment level. Previously, it took teachers an entire term to do accurate assessments on their whole class.

Adam Luxford – Freemantle Community Academy, UK

Developed from extensive research, these models are already performing at a very high accuracy level (97%). They also continue to learn from new data, meaning the more our technology is used the more accurate the overview of reading.

Additionally, our machine learning platform is able to consider the natural progress a student would make through an academic year following interventions.


3) Results and Intervention

Within our secure results portal, teachers and educational leaders can find a percentile score, a reading age, a year level equivalent and a standard score for each student. They can also see a unique visual representation of the reading process, and for the first time, what reading silently looks like.

Individual measures are also displayed alongside previous results, the school average and the national average for each reading component, including reading speed and fixation time.

The tests showed one of our KS2 girls was finding reading difficult but this was something we hadn’t spotted before. She had developed effective coping strategies to manage those difficulties, we hadn’t realised that she needed support.

Jayne Mullane – Headteacher – Mersey Vale Primary, UK

Reading speed, in particular, has proven to be useful for teachers building a picture of candidate needs for exam arrangements. Therefore, results for both aloud and silent reading are displayed alongside a student’s overall profile.

Additionally, our machine learning platform is also able to provide a ‘sticky word’ list for each student based on their fixation time.

Teachers can then choose to either work with their own intervention program, or Lexplore’s dedicated support package, Lexplore Intensive to guide each student along their reading journey. With regular testing, schools can closely monitor progress and ensure their existing interventions are having the intended impact.

As well as individual reading profiles, the Results Portal also provides a powerful overview of reading across multiple levels, from the individual student to a singular class, co-hort, entire school and even region.

The presentation of results is clear, visual and easily accessible both with regards to class, whole school and individual results. This enables schools to easily share results with staff, governors, parents and Ofsted. Being able to see the child’s eye movements has also been fascinating, insightful and at times mesmerising.

Adam Luxford  – Freemantle Community Academy, UK