Online workshop with Matthew Savage, most recently Principal at the International Community School, Amman.
Data Triangulation – five week online workshop
This workshop is facilitated by Matthew Savage, former Principal, The International Community School, Amman. Matthew has shared his experience of student-level data in different schools at conferences around the world and has delivered workshops on the effective use of data in Asia, Europe and Africa.
Overview of the course / structure / content
- What is triangulation?
- Attitudes - PISA and beyond
- Introducing the PASS survey
- The 9 PASS measures
- Interpreting the PASS scores
- Attitudinal mapping
- Student Profiles
- Case Studies
- Next steps
- Moving on to triangulation
- Within PASS: domains, cars, quadrants
- Between PASS and Aptitude/Attainment: triangulation models
- This week’s lessons and forum discussions will explore the individual triangles of some actual students, enabling you to begin to ‘Mona Lisa’ their journeys together, developing strategies to apply in your own schools.
- The course is delivered via an online portal
- The course lasts five weeks and requires a commitment of up to five hours per week. Delegates can schedule their activity at times that are convenient for them, but should aim to engage early each week to take maximum advantage of the group dialogue.
- Group discussion via the online portal represents a significant part of the course, with the opportunity to share experience and insight with other delegates from around the world. Participants should therefore be prepared to engage regularly throughout the course, including participation in forums and online tasks.
- Your active contribution in these tasks and discussions is a pre-requisite of certification
Who should attend?
- Be confident and competent in the use of data, with a genuine interest in PASS and CAT4;
- Be involved in the management and use of whole school, student-level data;
- Have a genuine interest in student attitudes to learning;
- Have an interest in and passion for the potential of student-level data to transform both learning and wellbeing;
- Be able to commit up to five hours per week for three weeks for the online course;
- Be prepared to engage regularly throughout the course, including regular participation in forums and online tasks.
- Outstanding international schools now know that quality use of quality data is essential, but it can be difficult to take the plunge and dive into the data for the first time
- The course will demystify this essential tool, and begin to enable colleagues to work autonomously and independently with a full range of student-level data in the interests of each individual student in their school
- It will also enable participants to learn more about the PASS survey in order to evaluate its potential in their own school
- Once a school has begun to tread the ‘data road’, it needs to grow its own data advocates and experts to maximise student-level impact. This will also ensure that the school’s use of data is sustainable in the long-term.
We have sessions running on the dates below. Each workshop lasts five weeks and requires a commitment of up to five hours per week, through an online portal. Participants can schedule their activity at times that are convenient for them, but should aim to engage early each week to take maximum advantage of the group dialogue.
Monday 1st February - Saturday 6th March 2021
- The charge for these workshops is £275 per delegate. Please note: due to popular demand, registrations are currently restricted to two delegates per school.
- Fill in the form below to register.
Matthew Savage in 2021
Using CAT4 data effectively – This workshop will support those wanting to improve their knowledge of the CAT4 test.
Introduction to GL Education data – this workshop is designed to meet the needs of teachers either new to the international school sector, or new to the GL assessment suite.
Using PT Series data effectively – this workshop will cover how to schedule and administer the PT Series tests effectively, as well as how to interpret and analyse the data to measure progress and improve outcomes.