What does this descriptor look like at different levels?
Interpret student data is the fourth descriptor of the fifth standard of the Australian Professional Standards for Teachers.
See more: Australian Professional Standards for Teachers Terminology Explained
Graduate
What does it look like?
At the Graduate level, teachers are expected to develop foundational skills in interpreting student data, using assessment results and other relevant information to gain insights into student learning.
As a Graduate teacher, you understand the significance of data in understanding student progress and learning needs. Your focus should be on familiarizing yourself with various types of student data, such as assessment scores, observations, and feedback. While you may have limited experience, you must demonstrate your ability to analyze and interpret student data to inform your instructional practices.
What evidence can I collect?
To provide evidence for this descriptor, you can showcase:
- Data analysis examples: Demonstrate how you have analyzed assessment results and other student data to gain insights into their learning strengths and areas for improvement.
- Data-based decision-making: Provide examples of how you have used student data to inform your instructional decisions and differentiate instruction.
- Reflections on data interpretation: Write reflective notes on your experiences with interpreting student data and any adjustments you plan to make based on these reflections.
See more: Evidence-Based Diagnostic Testing: A Guide for Australian Teachers
Proficient
What does it look like?
At the Proficient level, teachers are expected to interpret and analyze student data effectively, using a range of data sources to identify individual learning needs and inform teaching strategies.
As a Proficient teacher, you have developed the ability to use a diverse range of data sources to gain a comprehensive understanding of each student’s learning journey. You analyze assessment data, formative feedback, and other data points to tailor your instructional strategies to meet individual learning needs.
What evidence can I collect?
To demonstrate proficiency in interpreting student data, you can present evidence such as:
- Data-driven instruction: Showcase how you have used student data to differentiate instruction and implement targeted interventions.
- Student progress records: Provide evidence of how your data analysis has positively impacted student learning and academic growth.
- Collaboration with support staff: Demonstrate how you collaborate with support staff to interpret data and plan interventions for students with specific learning needs.
See more: Student Work as Evidence – How Teachers can Delve Deeper.
Highly Accomplished
What does it look like?
At the Highly Accomplished level, teachers are expected to lead and drive a whole-school approach to interpreting student data, collaborating with colleagues to implement evidence-based practices.
As a Highly Accomplished teacher, you go beyond individual data interpretation practices to lead efforts in creating a school-wide culture of data-informed decision-making. You collaborate with colleagues to develop and implement evidence-based practices that use data to improve student outcomes.
What evidence can I collect?
To showcase your highly accomplished level of interpreting student data, consider the following evidence:
- Whole-school data initiatives: Provide documentation of your involvement in developing and implementing whole-school data analysis programs or initiatives.
- Collaborative projects: Showcase initiatives or projects where you worked with colleagues to improve data interpretation practices across the school.
- Data-driven interventions: Demonstrate how your data analysis has led to effective interventions and improved outcomes for students with diverse learning needs.
See more: Is it Worth Becoming a Highly Accomplished Teacher?
Lead
What does it look like?
At the Lead level, teachers are expected to drive systemic approaches to interpreting student data, collaborating with school leaders to ensure comprehensive data analysis and evidence-based decision-making.
As a Lead Teacher, your focus is on systemic change and creating a cohesive approach to interpreting student data that involves all stakeholders. You collaborate with school leaders and colleagues to develop comprehensive data analysis frameworks that align with educational goals and support student growth.
What evidence can I collect?
To demonstrate your leadership in interpreting student data, gather the following evidence:
- School-wide data policy: Provide documentation of your contributions to the development and implementation of a school-wide data policy or framework.
- Collaborative partnerships: Showcase instances where you collaborated with school leaders and colleagues to ensure comprehensive data analysis and evidence-based decision-making across the school.
- Impact assessment: Present evidence of how your efforts have positively influenced student learning outcomes and contributed to a culture of continuous improvement through data-informed practices.
