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Differentiated Technical Assistance Team (DTAT) Video Series Leadership: Data Driven Leadership Part III of III Judy Johnston, LaVonne Kunkel, & Steve DeGaetani.
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Differentiated Technical Assistance Team (DTAT) Video Series Leadership: Data Driven Leadership Part III of III Judy Johnston, LaVonne Kunkel, & Steve DeGaetani
The ultimate goal in school improvement is for the people attached to the school to drive its continuous improvement for the sake of their own children and students. - Dr. Sam Redding
Leadership Session 1 – The Principal Session 2 – Teachers and Teams Session 3 – Data-Driven Leadership
Leadership Series • The sessions are designed to be used by individuals or in a group setting. • The sessions are sequential. • The PowerPoints and all other materials or references may be downloaded from the VDOE Web site. • An Instructional Video Guide is also available on the VDOE Web site.
Purpose • Series: • To identify components of effectiveleadership • To examine best practices that result in effective leadership • To build leadership capacity in your school • Today’s Video Presentation: • To examine the importance of data-based decision making in leadership
Today’s Focus • To examine the importance of data-based decision making in leadership by: • Using student learning data • Using operational data
Data-Based Leadership:Student Learning Data Why: • Curriculum/Pacing • Personnel • Student Learning Where: • Summative assessments • Formative assessments • Classroom observations
Data-Based Leadership:Student Learning Data: Formative • Provides an instant check for understanding • Used to adjust teaching and learning as it is happening • Provides descriptive feedback • What is right • What is wrong • How to fix it
Activity/Discussion Think about formative assessment in your classrooms. • What strategies or tools are used to gather minute to minute learning data? • Cite a specific example of how a teacher or group of teachers have altered instruction in response to formative assessment.
Data-Based Leadership:Student Learning Data: Summative • Assures alignment with standards • State • National • Reveals gaps in achievement • Pacing • Provides trend data • Students • Personnel
Activity/Discussion Think about student learning data in your school that is obtained from summative assessments (SOL, unit tests, benchmarks). • What are your sources of summative data? • How is this data distributed to stakeholders? • How is it used by the leaders in your district, your school, the classroom? • Do you feel that it is used effectively? How do you know? • Should something be done differently?
Data-Based Decision Making:Student Learning Data: Observational • Improve instructional practices • Follow up on professional development • Ensure fidelity in the use of programs • Monitor pacing and curriculum
Data-Based Decision Making:Operational Data • Documents • Schedules • Programs • Policies (attendance) • Procedures (dismissal, attendance) • SIP • Lesson plans, grade books, report card review
Data-Based Decision Making:Operational Data • Program Evaluation • Reading or math audits • Gifted education • Special education • Title 1 • Remediation/Intervention • Enrichment • English language learner instruction
Data-Based Decision Making:Operational Data • Observational Data • Classroom observations • Walk throughs • Measures of achievement • Perceptions Data • Surveys • Parents, teachers, students • Organized chats with community, parents, staff
Data-Based Decision Making:Operational Data • Team Proceedings • Agendas • Minutes • Work products
Activity/Discussion • As a team, reflect on the examples of operational data (documents, program evaluations, observational data, perceptional data, team proceedings). • Choose one area in which you used the data to make improvements in your school. Share the procedure you used and the results that were attained.
Using Your Data Replacing a poor teacher with an average one would raise a single classroom’s lifetime income earnings by about $266,000, economists estimate. Multiply that by a career’s worth of classrooms. - Annie Lowrey, Big Study Links Good Teachers to Lasting Gain, 2012
Using Your Data “Elementary and middle school teachers who help raise their students’ standardized test scores seem to have a wide-ranging, lasting positive effect on those students’ lives beyond academics, including lower teenage pregnancy rates, and greater college matriculation and adult earnings.”
Activity: Using Your Data • Name the top 3 teachers in your school. • Name the bottom 3 teachers in your school. • Look at their annual evaluations. • What do you notice? • What will you do about it?
What was one idea I learned during today’s video that I plan to share with teachers at my school?
Questions? If you come up with a question today, or even later when you share content from this video in your school, please contact… The OSI staff at osita@doe.virginia.gov
Additional Resources • Marzano, R., Waters, T. McNulty, B. (2005). School Leadership That • Works. Alexandria, VA: Association for Supervision and Curriculum • Development • Comprehensive Center for Teacher Quality. Washington, DC. Enhancing • Leadership Quality. 2008 • Nancy Protheroe. (2001). Improving Teaching and Learning with Data-Based • Decisions: Asking the Right Questions and Acting on the Answers. Educational • Research Service. Arlington, VA. • Walberg, J., ed. (2007). Handbook on Restructuring and Substantial School • Improvement. Lincoln, IL. Center on Innovation & Improvement. • Nathan Tyson, “Dynamism vs. Dysfunction,” Principal Leadership Dec, 2008 • Redding, S. (2006). The mega system. Deciding. Learning. Connecting. • A handbook for continuous improvement within a community of the • school. Lincoln, IL: Academic Development Institute • VA DOE (2008).Training for Instructional Leaders Session One: Effective • Teaming and Instructional Planning. • Lencioni, P., (2002). The Five Dysfunctions of a Team. San Francisco, CA. Jossey- • Bass
Instructional Delivery Session 1 – The Principal Session 2 – Teachers and Teams Session 3 – Data-Driven Leadership