Translating research into good practices
International experts in the field of Neurodiversity, for more than 25 years, with wide-scale academic and clinical experience have designed Do-IT Profiler’s modular system.
The experts in learning and disability, led by Professor Amanda Kirby and Dr Ian Smythe have delivered large-scale research programmes, published peer-reviewed papers and books and delivered training at masters level to over 50,000 professionals and are respected in their field of work.
Working with top computer scientists using the latest technological advances, they have moved on from traditional assessment approaches which only look at aspects in a linear fashion to develop individualised and contextualised assessment approaches, integrating information from multiple sources to provide truly personalised plans and guidance.
Challenges with current approaches
Linear assessments often assess, in isolation, one aspect of learning and do not take into context the environment the individual is learning or living in.
Examples such as: someone with no transport may have the skills for a job, but not the means of getting to it or a student living in poor housing may have nowhere to study, and this is the reason they are failing despite adequate skills.
The ability to integrate information from multiple sources means that a true picture of functioning and skills can be achieved. Some assessments currently take a global view of a skill, e.g. it will assess numeracy as a whole, without analysing where the skills are lacking and to ensure the assessment is truly testing what it is supposed to- if a maths assessment requires reading to complete it and someone has reading difficulties, this could lead to poor scores because lack of comprehension not their maths ability. The Profiler enables the assessment to focus on the actual task in hand.
The Development of an Assessment
This starts from the evidence base in the field nationally and internationally, working with other experts to ensure robust development. A phased development includes piloting, amending, trialling, checking for accessibility and usability, field testing, internal validation and external validation then release.
Optimising ‘Big’ and ‘Little’ data and using Predictive Analytics
Using the academic knowledge, and extensive experience and skill sets within the Do-IT team, we can support your organisation with real impact research. We can discuss with you from the concept phase of a research project or bid, and work with you to develop the right measures for baseline and monitoring that you require and are appropriate for the setting, and support you through all phases. We love working in collaboration and in partnership with other organisations and have many successful years of doing so.
The Do-IT team can help undertake an evaluation of current practices and work with you to consider what the appropriate measure may be. We can help with both qualitative and quantitative approaches, as well as providing the means for triangulating information from multiple sources if required.
Using our Predictive Analytics tool, Do-IT can work with organisations to use their own data sets to predict outcomes. This can look at the effectiveness of an intervention; where to target resources at the start of a journey; Social Return On Investmen (SROI) and ROI Measures.
Let’s have a conversation.