By David Maugel, IPLI Mentor (Cohorts 3 & 5) and High School Principal at NorthWood High School
Data Wise
Each year we are challenged as building principals to better utilize assessment results to improve teaching and learning. Many of us have developed different ways to collect and analyze data but fall short of utilizing the data to impact instruction and learning. Sometimes, the system to collect and analyze data is not timely, making its impact low at best.
At NorthWood
High School, we have been developing different systems to collect, analyze, and
act on student performance results. For
years, we have utilized Professional Learning Community collaboration to
discuss student performance results with content groups, which brought
awareness of some instructional issues and learning gaps. But we failed to act for a variety of
reasons, which included timeliness, common format, and implementation
processes.
This year,
we decided to take research from How
Teachers Can Turn Data into Action by Daniel R. Venables where he describes
his Data Action Model, and tweak it
to fit our current PLC collaboration model and philosophy from Richard
DuFour.
What do we want
students to learn?
We have
spent five years developing organic curriculum maps that allowed teachers to
discuss with colleagues the alignment to standards and learning activities to
master the required learning outcomes.
How will we know if the
students learned it?
We have
worked hard to develop common assessments that would allow teachers to discuss
results of those assessments to determine effective instructional practices as
well as learning gaps. We have allowed teachers
within the same department teaching the same class to utilize their PLC time
for quality reflections.
What are we going to do
if the students do not learn it?
This past
summer during our School Improvement and Professional Development retreat with
15 teachers and a separate Department Chair retreat with 13 teachers, we
developed an Assessment Performance Analysis process to respond to learning and
instructional gaps. The spreadsheet
identifies students who are proficient (75% or higher) on common and benchmark
assessments as well as teacher strategies to work with students who don’t make
proficiency. These are shared documents
that all faculty and administration can view.
Each year we are challenged as building principals to better utilize assessment results to improve teaching and learning. Many of us have developed different ways to collect and analyze data but fall short of utilizing the data to impact instruction and learning. Sometimes, the system to collect and analyze data is not timely, making its impact low at best.
At NorthWood
High School, we have been developing different systems to collect, analyze, and
act on student performance results. For
years, we have utilized Professional Learning Community collaboration to
discuss student performance results with content groups, which brought
awareness of some instructional issues and learning gaps. But we failed to act for a variety of
reasons, which included timeliness, common format, and implementation
processes.
This year,
we decided to take research from How
Teachers Can Turn Data into Action by Daniel R. Venables where he describes
his Data Action Model, and tweak it
to fit our current PLC collaboration model and philosophy from Richard
DuFour.
What do we want
students to learn?
We have
spent five years developing organic curriculum maps that allowed teachers to
discuss with colleagues the alignment to standards and learning activities to
master the required learning outcomes.
How will we know if the
students learned it?
We have
worked hard to develop common assessments that would allow teachers to discuss
results of those assessments to determine effective instructional practices as
well as learning gaps. We have allowed teachers
within the same department teaching the same class to utilize their PLC time
for quality reflections.
What are we going to do
if the students do not learn it?
This past summer during our School Improvement and Professional Development retreat with 15 teachers and a separate Department Chair retreat with 13 teachers, we developed an Assessment Performance Analysis process to respond to learning and instructional gaps. The spreadsheet identifies students who are proficient (75% or higher) on common and benchmark assessments as well as teacher strategies to work with students who don’t make proficiency. These are shared documents that all faculty and administration can view.
Next Steps?
We will be revising our current systems to fit into the Data Wise system by Kathryn Parker Boudett.