# data[].attributes.body
Are there any school that have child friendly ways of sharing the data with kids in order to have them use it as a learning and growth tool.

# data[].attributes.body
Now that we have collected and continue to collect different types of data and know how to interpret, I think it we need to have a system in place like a data tracker maybe, to track it over time to see spikes (if any) and how to make curb cuts along the way to reduce the spikes.

# data[].attributes.body
Can you show us real life examples of how schools manage and visualise data?
I am struggling to see how all of the different data can be used together in a simple and effective way.

# data[].attributes.body
For me, I recognise that I don't know what I don't don't know at this point.

# data[].attributes.body
- Platform to put all of the data together so teachers can call up student profiles, but also have data across grades/divisions/school wide to look at trends, patterns and changes.
- Dedicated time for the data team to work with all staff
- Further guidance and expectations on what staff are to do with this data

# data[].attributes.headline
What are our spikes? What would be our curbsides?

# data[].attributes.subject
What are our spikes? What would be our curbsides?

# data[].attributes.body
I learnt more what PASS and CAT4 test data means. I am surprised how these data generate a profile for our students which may not be obvious. I like use of the ABCD quadrants in the verbal-non verbal chart and the Quantitative-spatial chart. I wonder if we have misdiagnose or mistreated any students. (ie a D student but treated as a C and vise versa). I also wonder what are our spikes that possible lead to undesirables in the data. What then be our curbsides? I hope in due time we can find our the ABCDs of our students and see through them treated correctly.

# data[].attributes.body
What data will we share with students? CAT4? What is our aim/goal? How do we plan to educate our students?

# data[].attributes.body
What data will we share with parents? CAT4? What is our aim/goal? How do we plan to educate our parents?

# data[].attributes.body
All of the possible ways we can use the data we have to inform and support student wellbeing and learning.

New ideas and ways of thinking that will develop out of our data journey.

# data[].attributes.body
I can the see reason behind our process, but I still cannot see clearly what the day to day looks like in terms of having a genuine data driven school. I would love to see practical examples of how a team went about making it work.

# data[].attributes.body
Spikes and curb cuts - how do we pair these with the school and its current outlook and beliefs?
It would also be great to have some student voice behind these two aspects, not just the data.

Teachers also need to be involved and see the value of the data and how best to use it on the ground in terms of their students in the class each day.

# data[].attributes.body
To develop a culture where the focus is on holistic development and growth using key data points - CAT4, PASS, MAP, Internal Assessments, Attendance, Behaviour.

# data[].attributes.body
to use the data to understand students strengths, areas of growth and use it to inform my teaching.

# data[].attributes.body
I learned about the different quadrants and how to interpret it.

# data[].attributes.body
While we now have a much better understanding of some of the available data and how to interpret it I think we need a clear idea of ALL of the data available and a way(s) to use it/interpret it that makes it easily accessible and informative.

I also think we need to have a system in place to manage the data and keep track new data coming in so that we can use everything we have to tell student data stories.

If we are going to look at data differently to the way it is given to us or if we are going to combine data then we also need to consider how we can fit it all together or visualise it.

# data[].attributes.body
How might we best support parents in understanding this?
Suggestions on how as a data team we can drive the work we are doing at the grade level, division level, and whole school level.

# data[].attributes.body
The data team, and the learning principles are two things I'm really looking forward to test driving in the upcoming 18 months. I get quite excited about taking an idea and attempting to put it into practice - I recognize and look forward to seeing wha this team will be in a year, as well how the LPs have evolved.

# data[].attributes.body
A platform/student profile highlighting each student's data journey (PowerBI). This is much needed and will enable teachers to better understand each young person's strengths and limitations - leading to more personalised/student-centred teaching practices in the classroom.

# data[].attributes.body
I'd like to know more about the process after the data has been collected and analysed. Maybe examples from other schools of actual ideas that were implemented and worked - timelines as to how long it took etc and how to feed back to parents/shareholders about changes.

# data[].attributes.body
Better understanding of CAT4 and PASS and how these can be used to uncover stories to help better support students. We have already been having discussions around students we've flagged with concerns, and having this data will help us have a better understanding of them.

# data[].attributes.body
Learning more about students especially those with learning challenges or EAL. Hoping this will offer some deeper insight to their other strengths that may not be outwardly obvious due to language/learning barriers.

# data[].attributes.body
Student voices behind the data. While we can look at the PASS data and get a general sense of how students are feeling, either by grade or some other groupings, I feel we are missing student voices. Conducting small interviews to get student perceptions on a range of things, teachers, feedback methods, use of technology, classroom atmosphere, access to facilities, wall displays, or anything else would help give more meaning to the data. As well, these interviews could allow for more insight into what changes we can make to improve.
Finally, these interviews would also allow us to know what we are doing well and be proud of that.

# data[].attributes.body
In looking through the data and hearing about Matthew's experience, I would like to know what some of the biggest changes he has seen from a Spike to a Curbcut. Essentially, what are some examples that other schools have implemented that made a Spike a Curbcut? Whether this is playing around with the timetable, giving students choice in canteen menus, creating designated zones during recess for different activities.

# data[].attributes.body
I am excited about the possibility of creating student cards that outline their perspectives of themselves, school, and their capabilities compared against their CAT 4 data. Having these types of cards, while time consuming to create, would open up a range of ideas and information for teachers to better interact with their students. Grouping students together, building different scaffolds, understanding learning styles; these could all benefit from this information.