# data[].attributes.body
School leaders (HODs) regularly work with teams to review data and monitor the effectiveness of interventions and practices.

# data[].attributes.body
At recent faculty meetings (English and Humanities) semester 1 data as well as Naplan data was discussed with faculty members to see where there were gains, deficits, opportunities and effectiveness of team practices.

# data[].attributes.body
All teaching staff have access to a broad range of student data and use it analyse, discuss, and enhance individual and cohort progress.

# data[].attributes.body
Use of One School Student Summary Profiles to inform class snapshots and as a starting point to inform knowledge of student capabilities (based on achievement levels) at the start and throughout the year.

# data[].attributes.body
There is a school-wide culture of continuous data-informed self-evaluation and reflection.

# data[].attributes.body
Students participate in academic monitoring after term or semester results are published.

Students self-evaluate and reflect on feedback provided to them after each draft and final assessment task (we try to have them do this as teachers).

Staff and HODs reflect on subject and year level data after reporting periods.

Teachers self-evaluate and reflect on anecdotal data from lessons regularly to inform practice and pedagogy moving forward.

# data[].attributes.body
Attendance data is discussed on year level assemblies and students with high attendance are rewarded.

# data[].attributes.body
Time to engage with data in an in-depth manner and then act on those discussions in meaningful ways to continue to improve student learning, engagement and wellbeing I feel is something to look at moving forward. We are all so short on time. But it's also not just analysing and discussing the data it's coming up with strategies to implement actions to address what the data is revealing.

# data[].attributes.body
Senior Schooling Metrics Analysis ppt & reflections

# data[].attributes.body
Students anticipate and deconstruct TrackED profiles during Year 11 & 12

# data[].attributes.body
G.O. Data e.g. 'Microsoft Forms' GO referral system (indicating how many students are self-referring, parent referrals, teacher referrals); Chronicle entries via Compass (indicating student meetings); Timeout card usage (via Compass); NCCD data (capturing Soc / Emotional students); Post-school destination data; Next Steps Conversations (Year 12 students - tracking future pathways); QTAC Application and success rate data

# data[].attributes.body
GO intervention outcome / efficacy data to evaluate interventions - e.g. self-reports by student [pre- and post- intervention]; GO tracking data e.g. success rate of referrals; attendance records; reflections via supervision and case records

# data[].attributes.body
Launching School TV - Term 4, 2025; with intention to analyse school usage data and consider which topics and issues are frequently accessed

Data will be used to inform future intervention and support programs