# data[].attributes.headline
Mastery Connect is providing specific data as to what  the content of remediation should be.  We still have the same old challenge of finding the time for remediation while continuing to move forward.

# data[].attributes.subject
Mastery Connect is providing specific data as to what  the content of remediation should be.  We still have the same old challenge of finding the time for remediation while continuing to move forward.

# data[].attributes.headline
Master Connect has provided real time data for teachers and leaders to make instructional decisions on  where to focus their energies on teaching and re-teaching.  It is a useful instructional prioritization tool.  

# data[].attributes.subject
Master Connect has provided real time data for teachers and leaders to make instructional decisions on  where to focus their energies on teaching and re-teaching.  It is a useful instructional prioritization tool.  

# data[].attributes.body
One of the key things I have learned from our benchmark data is that a few of our new teachers need some additional support with instruction to help their students be more successful. The data has also shown us the areas where our students are performing well and where we have some room to help them improve.

# data[].attributes.body
There is still more to learn from the results of the benchmark data. With it being the first benchmark and nothing to compare it to for growth, beyond comparison to other schools in the district, the results cannot tell us very much, but I see a lot of potential from the data. Once we can compare results from year to year and know what to look for in terms of growth, I think it will be a huge benefit. I have already heard and had conversations with teachers as to how they can adjust their lessons to ensure they effectively teaching what the students need to learn.

# data[].attributes.body
I have analyzed the results to find that a large number of students are performing better on DOK 2 and 3 than they are DOK 1. I am working with the teachers on incorporating the questions and DOK 1's into their classroom daily to make sure that the students are seeing the platform and able to have follow through with the questions that were commonly missed.

# data[].attributes.body
Our teachers have been meeting in PLC's for a couple years and consequently have the avenue to share the data and make instruction and assessment decisions based on that. Teachers will see the value as time progresses and they increasingly become more familiar with the ways it is useful to improve their instruction.

# data[].attributes.headline
It has affirmed that we have a content area in need of some new tactics for student learning. Therefore, a half-day of collaboration has been arranged for the teachers of this subject in order to discuss Mastery Connect results and formulate a plan for next semester. Admin and IC are a part of this collaboration.

# data[].attributes.subject
It has affirmed that we have a content area in need of some new tactics for student learning. Therefore, a half-day of collaboration has been arranged for the teachers of this subject in order to discuss Mastery Connect results and formulate a plan for next semester. Admin and IC are a part of this collaboration.

# data[].attributes.body
I have learned that using data from mastery connect provides a tool for planning. The data allows the teachers a point of reference to plan instruction and area that need to be emphasized during instruction. This can also be used .a planning tool during PLCs'

# data[].attributes.body
It is a teaching tool that helps to maximize instruction by evaluating the students' knowledge and skills. This tool has assisted us with catching remediation needs before it's too late. It also helps our teachers with strengthening dialogue during departmental collaboration as they are able to use data to support their rationales.

# data[].attributes.body
It is allowing us to provide an opportunity for data literacy so we can become more adept at analyzing data to determine next instructional steps.

# data[].attributes.body
The data that Mastery Connect gives us is the piece that we have been missing in our PLC's.  Our PLC's do a good job common planning, but Mastery Connect has enabled us to analyze our data quicker and easier.

# data[].attributes.headline
On the Mastery Connect reports (benchmark data), I like to see our data compared to the rest of district. We get how our performance compares to the other schools in the district post-test for high stakes assessments but rarely before. It is a good check to see where our students are performing compared to their peers across the county. 

# data[].attributes.subject
On the Mastery Connect reports (benchmark data), I like to see our data compared to the rest of district. We get how our performance compares to the other schools in the district post-test for high stakes assessments but rarely before. It is a good check to see where our students are performing compared to their peers across the county. 

# data[].attributes.headline
Any data is good data...especially if you understand and know how to use it.  Mastery Connect has been time consuming.  As a blocked school, we definitely need to figure out the most appropriate time for administration.  Data has been an issue too.  Teachers need to have immediate feedback to assess and revise plans for instruction.  

# data[].attributes.subject
Any data is good data...especially if you understand and know how to use it.  Mastery Connect has been time consuming.  As a blocked school, we definitely need to figure out the most appropriate time for administration.  Data has been an issue too.  Teachers need to have immediate feedback to assess and revise plans for instruction.  

# data[].attributes.body
We are having our teachers meet to discuss the results of the benchmark data.  We have created a Google Form that they must answer as they go through the results.  This form has helped lead the teachers to discussing ways/strategies of what they have already covered and also meaningful discussion as they lay out the plans for the remainder of the year.

# data[].attributes.headline
I've learned several things from the data.  Perhaps we need to restructure the way we are teaching and assessing courses.  Teachers have been frustrated with their results but are able to use the data to make meaningful changes to courses that will ultimately increase student achievement. 

# data[].attributes.subject
I've learned several things from the data.  Perhaps we need to restructure the way we are teaching and assessing courses.  Teachers have been frustrated with their results but are able to use the data to make meaningful changes to courses that will ultimately increase student achievement. 

# data[].attributes.body
I like that we can make more certain that we are assessing our students at the correct level of rigor. Our EOC teachers already had been administering benchmarks that we worked hard to create and we (Freshman Academy) analyzed our data together in our common planning sessions. We even had a sheet whereby students analyzed their results and looked for patterns. Now that the district benchmark pacing is in stone, the results are not as useful for us. Many of our teachers had not gotten to some of the content and therefore the analysis was not as helpful. I wish we would be able to move questions according to what was actually able to be covered. Our teachers are adding additional mastery connect assessments afterwards to still be able to properly assess those previously untaught indicators.

# data[].attributes.body
Our teachers have been provided with substitutes so they can work with each other and the IC to revamp their unit plans and target areas of weakness.  These teachers are grateful for the opportunity to work together to specifically improve students' performance.

# data[].attributes.body
I have learned how great it is when teachers get meaningful data in real time and how powerful it can be to informing instruction and raising student achievement. I like that teachers and administration can use specific information given by Mastery Connect to plan next steps together not just with instruction, but with intentional guidance and support for our teachers.

# data[].attributes.body
In the past, our cumulative assessments have provided us very little feedback so that we can reflect upon and improve instruction for the next go around. Mastery Connect clearly offers a specificity which we have dearly missed prior to this point.

# data[].attributes.body
I’ve seen that the teachers that take it seriously will have students take it seriously. When this happens, the data is meaningful.

# data[].attributes.body
I have seen teachers have real and serious conversations with each other. This data enables teachers to have meaningful conversations. From this, I've learned a great deal about my teachers. Those who collaborate and are honest will see the most growth with their students. I've also learned that students will do well with a strong teacher, no matter their circumstances. Teachers have the greatest impact on student achievement.

I have learned that my role as an instructional leader is more important than ever. I need to be a part of these conversations in our PLC meetings. This is where I will learn about my teachers and help facilitate student learning.

# data[].attributes.body
There is a direct correlation between higher scores and teachers that meet regularly to plan around standards. Our teachers that meet with fidelity to review rubicon pacing and the standards assessed on the benchmark had better results. It seems obvious but having the data to support the methodology will assist in promoting the collaboration and intense focus in other content areas that have not been as cooperative.

# data[].attributes.headline
I've learned that we need to capitalize on the data the benchmarks provide.  There are several useful reports that Mastery Connect (Case21) provides which can allow PLC's to plan remediation  that specifically targets identified weaknesses.  I've learned the more the teachers understand the reports and Mastery Connect the more motivated they are to use it.

# data[].attributes.subject
I've learned that we need to capitalize on the data the benchmarks provide.  There are several useful reports that Mastery Connect (Case21) provides which can allow PLC's to plan remediation  that specifically targets identified weaknesses.  I've learned the more the teachers understand the reports and Mastery Connect the more motivated they are to use it.

# data[].attributes.body
I learned multiple ways of manipulating the excel sheet to locate students/teachers weaknesses.   This information will be used  during our next administration meeting in order to provide support and guidance for our EOC teachers.

# data[].attributes.body
During the PLC teachers are having the opportunity to build common assessments and then use the data to improve their instruction. The struggle at the beginning was to take the data and modify the instruction and not use the program as a check list.

# data[].attributes.body
The initial start up has been cumbersome but the data is becoming more valid as the teachers and students become more comfortable with the formats and the rational behind the benchmarks.  Teachers starting to see where some of the break downs are happening earlier to help with gaining mastery during a course rather than having to wait for grading periods to reflect knowledge.

# data[].attributes.body
It has been at times a confusing thing for some of of our teachers...which is good.  It is forcing a look into the why we are where we are, and a how do we get to the next level.

# data[].attributes.body
We have learned that in some departments everyone is together and students are performing relatively on the same level and some subjects need a closer look at their performance. It has been a great tool to facilitate those discussions.

# data[].attributes.body
I've learned that
some teachers that are finding great success with their teaching techniques, where others have not. Now real collaboration can begin to see what works vs what does not.

# data[].attributes.headline
Click The Red + To Offer Feedback And Collaboration

# data[].attributes.subject
Click The Red + To Offer Feedback And Collaboration