# data[].attributes.body
To see where kids are versus where you’d like the. To be and close that gap

# data[].attributes.body
I can learn where the students are academically, meet them on their level, then bring them to a higher level of knowledge.

# data[].attributes.body
To see what areas of the certification test (content) the students need to spend more time practicing/reviewing.

# data[].attributes.body
I want to learn my students strengths and weaknesses so that I can help them prepare for their test or retest in the Spring.

# data[].attributes.body
My instruction.

# data[].attributes.body
To make tailored instruction for each student.

# data[].attributes.body
Studying data in education helps improve teaching strategies, personalize learning, track student performance, and make informed policy decisions for better outcomes.

# data[].attributes.body
To adjust lesson planning to address the gaps.

# data[].attributes.body
To see if you are a better teacher than others.

# data[].attributes.headline
We study data in order to learn which TEKS to reteach for particular students.

# data[].attributes.subject
We study data in order to learn which TEKS to reteach for particular students.

# data[].attributes.body
One reason to study student data is to determine what skills your students have and determine what they still need to learn

# data[].attributes.body
To see what the students know and what they don’t and plan next steps accordingly.

# data[].attributes.body
It shows me what topics and concepts my students mastered and which topics I need to re-teach.

# data[].attributes.body
To make sure we are hitting our campus and district goals

# data[].attributes.body
We can isolate our effort in areas that need improvement and avoid re-teaching curriculum that students are already performing well in.

# data[].attributes.body
My reason to study data is to have an understanding of where my students are and how much more I need to do to get them to where they need to be.

# data[].attributes.body
See progress ( or regression) and look for correlations

# data[].attributes.body
To better understand what my students are learning and where improvements can be made.

# data[].attributes.body
To create lessons that can bridge the gap between what they know and what they don’t.

# data[].attributes.body
To learn where my students are and figure out how I can help them reach their goals

# data[].attributes.body
Improve the staar test results of my students

# data[].attributes.body
To Monitor and Adjust

# data[].attributes.body
We study student data to track progress, identify learning gaps, and tailor instruction for student’s needs.

# data[].attributes.body
It is to find gaps in the students' learning

# data[].attributes.body
It’s important to study student data to monitor or measure how many students are understanding the course material. This will provide feedback on what topics to focus more on or how well lessons are being delivered to better help the students.

# data[].attributes.body
I want to personalized learning and trying to find an effective teaching/Instructing strategies to maximize in teaching.

# data[].attributes.body
To Monitor and Adjust as Need

# data[].attributes.body
So that I can see where they are…this gives you a starting point.

# data[].attributes.body
To identify learning gaps and ensure that they receive the right support to close that gap.

# data[].attributes.body
To see what my students understand and what we need to work on

# data[].attributes.body
To see what areas need improvement

# data[].attributes.body
The reason to study student data is to see where the students are and tailor my instruction and adjust lesson plans

# data[].attributes.body
To meet your program meets certification requirements and helps students succeed.

# data[].attributes.body
It is to identify gaps to re teach whole group or small group

# data[].attributes.body
I study the students data to identify areas of weakness in the teks.