Confederation of School Trust Conferences

1 Workshop series two

From data to action: Using AI to strengthen trust-level decision making

This session will explore how expanding and enhancing data sets can deepen the insights available to trusts, leading to more informed decision making and action, and leveraging AI to unlock new perspectives. Two trusts that are making great strides in this work will present their experiences, sharing their approaches to integrating new data sources and AI tools into their practice. Workshop speakers to be confirmed.

1 Workshop series two

Managing the changing face of school data: A discussion workshop

Join us for this thought-provoking space for attendees to share insights and practice on key areas of the complex and evolving landscape for school and trust level data. We will discuss the current progress measure gaps within trusts, effectively complementing the new DfE and Ofsted measures, and the importance of contextualising data for valid assessment. <ul> <li>How are trusts currently navigating the absence of formal progress measures? Where is your focus? How important is pupil progress? What measures are being used? What advice are you giving schools?)"How should trusts think about the contextualisation of school data?</li> <li>How should trusts think about the around the contextualisation of school data?What’s important; demographic variation, pupil starting points, pupil needs, similar schools, regional circumstances, a level playing field? What would you like to see?</li> <li>How should trusts ‘complement’ new DfE and Ofsted measures? (What are your views on the current direction of travel? What would you like to see that supplements the DfE and Ofsted approach?)</li> </ul>

1 Workshop series two

Research revolution: Unlocking the power of school data 

Which teaching practices have the greatest impact on pupil outcomes? By analysing data already held by trusts, NIoT’s ground-breaking project, the Teacher-Education Dataset (TED), aims to inform classroom practice, enhance teacher development, and shape evidence-based policy. During the session we will share our approach to building the TED, as well as early research findings. We will then explore how trust leaders might apply these insights in their contexts. Attendees will be invited to reflect on how their own trusts might engage with TED and contribute to sector-wide improvement. Join us to understand the infrastructure required to support this work and discover actionable insights to drive positive change across your trust.

1 Workshop series one

Governance to support AI – putting the safeguards in place

Data and information governance is more critical than ever to ensure that individuals’ data is protected, and that data is used ethically and responsibly, by people and, increasingly, by AI. This panel explores best practice policies and processes that trusts should have in place, alongside case studies from Dixons Academies Trust and Ark Schools, sharing their respective approaches to implementing effective data and AI governance.

1 Workshop series one

Building data and AI capability within trust teams

There is a scarcity of data capability in the schools sector, but trust leaders are exploring innovative initiatives to close this gap and develop data expertise. The panel will discuss how the Open Education AI platform and community of practice, alongside new models for data apprenticeships, are rapidly increasing data capability across three trusts: Greenwood Academies Trust, Beckfoot Trust and Discovery Schools Trust.

1 Workshop series one

Ensuring valid inferences: approaches to improving data quality

This session explores the hows and whys of high-quality data for effective predictive and prescriptive analytics in school trusts. We’ll identify which datasets require the most rigorous quality standards and discuss practical steps to improve data accuracy and reliability across trust systems. With a focus on the principle of “junk in, junk out,” attendees will gain insights into building a stronger foundation for data-driven decision-making.