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In May, the DfE published the findings from the much anticipated Timpson Review, which recommends that schools be supported to reduce the number of exclusions they make by focussing in on early intervention and quality Alternative Provision. In this blog, I will explore the implications of this on schools and discuss how Arbor MIS can
In May, the DfE published the findings from the much anticipated Timpson Review, which recommends that schools be supported to reduce the number of exclusions they make by focussing in on early intervention and quality Alternative Provision. In this blog, I will explore the implications of this on schools and discuss how Arbor MIS can help schools to use data to intervene proactively with students and better understand their holistic needs, before they reach the point of being an exclusion risk.
Are current intervention strategies timely enough?
Prior to working with Arbor, my 13 years as a teacher and senior leader were spent both in Mainstream Secondary and in Specialist Education for Behaviourally Challenging students, so I have seen both the before and after stories of mainstream exclusions.
When a child comes into a full time AP or SEMH school, it’s often the case that they have been excluded, not just once but many times, and are trapped in an ongoing, negative spiral of:
Image 1: A diagram showing a child’s negative behaviour cycle
Trying to re-instill a sense of self-worth and value for learning into individuals who seem almost broken by this experience is very difficult at the post-exclusion stage. We succeeded with many, but not with all.
For those with whom we didn’t, I often wonder… Could it have been a different story if during their more formative stages in education, greater focus had been placed on developing their necessary dispositions for learning, rather than hammering home a nearly entirely academic curriculum? For students who are more resilient and better at regulating their emotions , this is ok; but for those who aren’t, early subjection to repeat experiences of failure will trigger innate safety behaviours such as escape and avoidance, which in the classroom context will display as refusal to work and disruption to lessons.
This opens up a broader debate about the appropriateness of the curriculum we deliver and whether we are assessing the right things for these individuals – something I discussed in my previous blog which focussed on SEN Assessment. Whilst there will never be a silver bullet answer to the “what to do?” question for all children (this will differ depending on context), my overriding feeling regarding “when to do it?” is that, in nearly all cases, it could have been earlier in the story and not at the point where behaviour had already become unmanageable. But how do we know when is best to take a different approach? That’s where the effective use of data comes in!
Data driven intervention
During my time in schools, I have seen and implemented a fair share of behavioural initiatives and policies, some of which were successful and others less so, but in every instance their success was dependent on the quality of information that fed into them. Data-wise, the two most important questions to ask are:
Unfortunately, the answer to these questions isn’t always “yes”. In many schools, it’s hard to act on data in a timely way, as there’s usually a heavy reliance on the manual collation and analysis of it in order to find meaning. Therefore, intervention is often carried out at the point where behaviour is so severe or prevalent that you don’t even need data to tell you there’s something to do. So, you become a reactive culture.
Negative behaviour doesn’t occur in isolation; it’s often linked to other factors, such as home-life, literacy, attendance and pastoral issues. But due to the siloed nature of data in schools (as illustrated in the systems diagram below) it is also difficult to combine different measures into simple, quick analysis, or to easily know what’s been going on with a child.
Image 2: A diagram showing the siloed nature of data in schools
Arbor MIS makes it easy to input and analyse all your core data in one system. With all student data brought together on simple profile pages, it’s easy for staff to get the holistic overview of a student that’s needed in order to plan more specifically for their needs. This is something that’s crucial to Liam Dowling, and the staff of Hinderton School, an Outstanding Cheshire SEN school who specialise in supporting students with Autistic Spectrum Conditions (ASC) and social communication difficulties from a young age.
Image 3: A diagram showing the way school data can be brought together
Hinderton’s short inspection letter from June 2017 praised the school on the interconnectedness of it’s systems, meaning that all stakeholders have easy access to the data they need:
“Your online systems, which work seamlessly together, make sure that senior leaders, staff and parents all have the information they need at their fingertips. As a result, you have streamlined and improved all aspects of information relating to pupils.”
Hinderton’s short inspection letter – OFSTED June 2017
Hinderton are one of nearly 800 schools who benefit from Arbor MIS’ ability to:
Give staff easy access to the full story of a child to enable better understanding of needs
Image 4: A demonstration of how Arbor MIS gives you the full story of a child
With appropriate permissions, all information ranging from communications with parents, attendance, behaviour and SEN history is visible in one place. Understanding what has gone on with a disaffected child is crucial to knowing how best to work with them and Arbor makes finding this information as easy as possible.
Automate behaviour action and analysis
Image 5: A demonstration of how you can automate behaviour action in Arbor MIS
Arbor’s automatic workflows within the behaviour module ensure that students who exhibit persistent low level behaviour across multiple lessons are always identified and action is taken without an administrative burden to staff. This helps schools to ensure that negative behaviour is appropriately challenged in all instances and isn’t allowed to snowball to the point of being unmanageable.
Link Interventions to Data
Image 6: A demonstration of how you can plan interventions with Arbor MIS
Arbor allows you to create interventions with Participant and Outcome criteria that pull data in from anywhere in the MIS. Therefore, students could be recommended for a Behaviour for Learning intervention following a slight change in behavioural patterns at an earlier point in time than when it becomes prevalent and significantly disruptive to others.
Customise Assessment frameworks to target specific needs
Image 7: An example of how to customise assessment frameworks in Arbor MIS
The Springwell Special Academy are an Outstanding SEMH school who make full use of Arbor’s flexible Assessment system to host specific frameworks that fit their students’ needs. This enables them to focus on social and emotional development, resilience and student wellbeing as well as tracking academic progress. The image above shows the input page of a framework they have developed called the SEMH tracker.
In conclusion, the Timpson review has brought about a greater emphasis on schools to develop strategies to help students whom they may otherwise exclude. The four tools above are just a few examples of how Arbor could help schools in collecting more specifically focussed data to use in a more timely and targeted way in order to help improve the holistic outcomes of these vulnerable students. We recognise that the challenge isn’t easy and the “what to do” expertise lies with the people who know the students best – a piece of software isn’t going to be the solution but could play a significant part in the data strategy that drives the change!
If you’d like to find out more about how our simple, smart cloud-based MIS could help you transform the way your school uses interventions, contact us. You can also book a demo by calling 0207 043 0470 or email firstname.lastname@example.org.
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