But to improve instruction, school leaders need to develop a clear, concise understanding of what’s working in the classroom and what’s not.
That’s where data comes in.
Data-driven coaching processes are the most efficient way to accurately track and measure growth, and a data-driven process offers two huge benefits for teachers and students alike:
So how do you gather and use teacher performance data to improve performance? Read on!
When it comes to student achievement, data can identify existing areas of strength and weakness. It can also guide your improvement strategies in a systematic, strategic manner.
With this insight, schools across the country have been focusing — rightly so — on students’ assessment results as the key determinant of instructional effectiveness.
Here, in a similar fashion, we look specifically to data gathered from interactions with teachers and coaches to guide improvement strategies.
By measuring qualitative and quantitative data from these interactions, school leaders can identify trends and deliver a robust picture of teacher growth.
You can glean qualitative data through various practices: classroom observation, debrief meetings, and open-ended questionnaires.
Qualitative data collection should be guided by a rubric or framework for effective teaching so that feedback is aligned.
Video capture is also an effective method of qualitative data collection that can be easily shared with teachers.
From these sources, instructional leaders can begin to identify trends across classrooms in schools — and even whole districts!
Quantitative data involves the collection of numerical data points that can be sorted into categories, ranked in order, or measured in units.
Typically, school leaders and coaches gather this through informal and formal observations using a rubric. Observers rate performance in specific competencies that fall within specific domains of practice.
Just as with student achievement data, the data from formative assessments of teacher performance has enormous potential to inform professional development offerings and support.
In order to make data-driven decisions, school leaders, teachers, and coaches should use appropriate tracking software that has the capacity to synthesize and analyze data.
Tracking software (see the video below for an example using SchoolMint Grow) should also be designed to securely and effectively share data as needed.
A data-driven analysis can inform decision-making throughout the coaching process. Data can be used to pinpoint exactly which teachers need help and which skills specifically need improvement.
When you accurately identify these needs, you can then provide targeted professional development to address growth in those areas. Data can be used to outline specific, measurable goals with concrete corresponding action steps to meet these needs.
Data can also help facilitate a school-wide cultural shift to a growth mindset. To create an effective coaching program that helps teachers get better faster, school leaders must build an environment that embraces a culture of ever-evolving progress.
According to Paul Bambrick-Santoyo, author of Get Better Faster: A 90-Day Plan for Coaching New Teachers, frequent feedback is key to closing instructional gaps.
Providing data-driven feedback on a regular basis will help normalize feedback on the whole and integrate it into your school’s everyday routine. Teachers will be more likely to embrace feedback when it is framed as a tool of growth.
Software is the best way to manage and make sense of data. Effective programs will enable you to track, analyze, and share data in a straightforward, organized fashion.
From rubric creators to advanced reporting features, SchoolMint Grow’s streamlined software makes using data to improve teacher performance a breeze.
The data is already there. Put it to use today with a free demo of SchoolMint Grow!