Using Data to Improve Instruction
Data-driven instruction, in reality, is a process that the teachers and administrators control to address the aspects most important to student development. The comprehensive use of student data to measure personal and classroom understanding provides teachers with insight into detailed adjustments they can make to their curriculum to augment student learning. Data analysis also provides information to understand whether there is equitable learning for all students.
Data-driven education is an important part of a productive and supportive school culture. By focusing effort on student understanding, data-driven education supports a problem-solving mindset of continuous improvement.
Student data provides a picture of what students know, what students should understand, and what they have not yet learned. When teachers review and comprehend this data, they become positioned to make better decisions that reinforce positive student impact. Data-driven instruction empowers teachers, helping them improve the quality of their instruction while presenting valuable insight into their students' educational journey.
Nick Strickland, M.ED
Overview of HQSD
While administrators are encouraged to utilize a variety of data for improvement efforts, the administrator evaluation will use at least two measures of district-determined High Quality Student Data (HQSD) to provide evidence of student learning attributable to the administrator when being evaluated. The two pieces of high-quality student data may be used as evidence in any component of the evaluation, where applicable.
Selecting HQSD
Administrators have and should utilize a variety of data sources for improvement related efforts. Review below for examples of HQSD that provide evidence of student learning. When applicable, HQSD shall include the value-added progress dimension and at least one other measure of high-quality student data to demonstrate student learning.
Demographic Data
Attendance
Graduation Rates
Socio-economic Status
Gender
Race
Student Learning Data
Ohio State Testing Data
Value-Added
NWEA MAP
iReady
Curriculum-based Tests
PSAT
Behavior Data
Discipline Logs
SWIS Data
PBIS Data
Social Emotional Learning Data
DESSA
CASEL
Perception Data
Student Surveys
Parent Surveys
Community Surveys
Conducting an HQSD Audit
What data is already available?
What type of data/assessment is it?
What does it measure?
Can it be used to improve student learning?
Is it aligned to the Principal Standards for HQSD?
Is it attributable solely to that building administrator(s)?
Does it meet the required criteria for HQSD?
Is it being used for the 3 reasons shared earlier?
Are there conversations that need to occur district-wide regarding HQSD?
How will the district determine which instruments will be used for HQSD for each administrator?
How will the evaluator determine if the administrator meets the criteria of using the data from the instrument?
How will the administrator show evidence of student learning (achievement and/or growth)?
Will HQSD be required in all five of the defined rubric standards?
Should all buildings use the same data, if feasible?
What further training and/or support is needed?
Using HQSD: Conversation Starters
The following document provides sample reflection questions by standard area. These questions are structured to engage the administrator in reflection around the use of data.
Using HQSD: Sample Data Protocols
Below are various sample data protocols available to support in HQSD in OPES 2.0 related efforts. Participants may select a HQSD source, analyze data and determine next steps, and create an action plan to monitor progress. The use of these protocols are illustrated in the HQSD conversation video, featuring Jeri Earley.
Using HQSD: View it in ACTION!
Not sure how to begin the conversation? Below are sample videos of HQSD conversations for review. To access a document that links all videos along with corresponding background information, CLICK HERE.
HQSD Local Considerations
How will the district make decisions around high-quality student data?
How will it be determined if an instrument meets the criteria for high-quality student data? Committee? Evaluators?
How will the evaluator determine if the administrator meets the criteria of using the data from the instrument?
How will the district define "locally-determined experts in the field"?
Will the district utilize the High Quality Student Data Verification Form with its evaluators, administrators, and/or district-level high-quality student data committees to document the two measures of the district-determined high-quality student data used within the Administrator Performance Evaluation Rubric?