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What makes a data-rich culture?
A data-rich culture is one where educational data is used to support decisions at all levels within the school (board, school leaders, teachers, students, and parents).
Schools that have a data-rich culture exhibit the following characteristics:
- They have an established vision and supporting goals for how data will be used to improve student achievement.
- They have a standard approach and set of resources for collecting, reporting, and analysing student data.
- They consistently and regularly use student assessment data to inform and improve policies, interventions, and teaching approaches and improve communication among teachers, students, and parents.
- They have a mechanism in place to continuously monitor and improve the process of collecting and analysing data to enhance teaching methods and interventions.
Developing a data-rich culture
Step 1: Establish the need for a data-driven culture and set the vision:
- Develop an understanding of the rationale for stakeholder engagement for using educational data at all levels.
- Understand the role of trust in using educational data at all levels.
- Set goals for the use of educational data at all levels.
Step 2: Implement processes and structures for what data to use and how to use it.
- Develop an understanding of how educational data can be used effectively to support feedback between students and teachers.
- Identify and prioritise the questions educational data will answer to inform decision-making at all levels for stakeholder groups (for example, teachers, students, and parents).
Step 3: Implement tools and systems to support vision and processes.
- Develop an understanding of how technology tools and solutions support the building and sustaining of a data-rich culture.
- Develop an understanding of best practices for selecting and implementing technology solutions.
- Identify and facilitate technology tools and resources that enable the effective use of educational data at all levels. These tools should provide a comprehensive level of analysis appropriate to all stakeholders' needs, draw educational data from multiple sources (allowing comparison of various data sources), and provide facilities for secure student and parent access.
