Data Teams:Using Data to Impact instruction and learning<br />“The value of data emerges only when analysis provides insig...
	TESA<br />Too often we focus only on what students do or don’t do. . .<br />The reality of TESA (Teacher Expectation = St...
What affects student achievement?<br />Curriculum alignment<br />Assessment variety<br />Collaboration <br />Support from ...
Data is the Key to Success	<br />Data from student work provides teachers with opportunities to analyze how personal teach...
Luck is not a Factor<br />To produce high results  means we must understand the  preceding events, factors and causes that...
Personal Assessment<br />What teaching strategies have I been trained in that I’m using consistently ?<br />Reading Appren...
Before we meet: Personal  Reflection<br />Behaviors ( Teacher )<br />How do my classroom rituals facilitate learning?<br /...
Asking the right questions for Purpose driven data collection<br />If I have no data, what do I use as the basis for  my i...
Michigan GLCE’s & HSCE’s<br />The content expectations should serve as a guide in the development of appropriate curriculu...
Depth not Volume<br />
Data Teams<br />It’s working there. . .Can it work here?<br />
5 Step Process<br />COLLECT & CHART DATA<br />ANALYZE STRENGTHS, OBSTACLES, PATTERNS, TRENDS OF PROFICIENT AND NON-PROFICI...
Our Data Team		<br />What will the Team look like?<br />Who can meet and when and how (face to face, emails, iChat?)<br />...
What to expect of Data Teams<br />Initial Meeting we will . . .<br />Set Roles<br />Establish Norms – set meeting day(s), ...
Creating the Team	<br />Identify members – teachers, para-pros, TCs, tutors<br />Communicate Expectations – values, belief...
Effective Collaboration<br />Affects Educators	<br />Shared beliefs & definitions about student achievement impact the way...
What does success look like in my school?<br />Teachers	<br />Administrators<br />
Common Assessments<br />Consistency	<br />Agreed upon expectations<br />Documented in Maps<br />Identify effective practic...
Roles of Data Team<br />Recorder<br />Take Minutes<br />Distribute information to Data Team Leaders<br />Colleagues & Admi...
Roles of Data Team Members<br />Timekeeper	<br />Follows time frames allocated on agenda<br />Keeps members informed of ti...
Team Roles: Data Technician<br />Translate data into clear, simple graphs<br />Enter information on charts<br />Distribute...
Team Leaders<br />Represents Team, acts as administrative liaisons for the team and Direct the data team process<br />Prom...
 Meets monthly with administrators and other data team leaders
Challenges assumptions
Believes in data driven decision making process and are committed to success
Is a Volunteer/Selected by peers
Committed to make time to lead</li></li></ul><li>What’s in a meeting?<br />With Team<br />Agenda driven<br />Results from ...
SMART Goals<br />S = Specific<br />M = Measurable<br />A  = Achieveable<br />R = Relevant<br />T = Timely<br />
Upcoming SlideShare
Loading in...5
×

P Sizemore Data Team

484

Published on

Published in: Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
484
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
9
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

P Sizemore Data Team

  1. 1. Data Teams:Using Data to Impact instruction and learning<br />“The value of data emerges only when analysis provides insights that direct decisions for students.”<br />S. White Beyond the Numbers, 2005<br />
  2. 2. TESA<br />Too often we focus only on what students do or don’t do. . .<br />The reality of TESA (Teacher Expectation = Student Achievement) is true<br />We achieve what we believe<br />
  3. 3. What affects student achievement?<br />Curriculum alignment<br />Assessment variety<br />Collaboration <br />Support from Administration (Learning Leaders)<br />Teacher qualifications<br />Teacher behaviors<br />Professional development<br />Learning Conditions<br />Resources <br />Recognize the influence of current attitudes on policy, teaching values and how those attitudes are impacting the learning process<br />
  4. 4. Data is the Key to Success <br />Data from student work provides teachers with opportunities to analyze how personal teaching practices affect student learning<br />Data from carefully analyzed student work allows teachers to monitor each child’s progress, make instructional changes, respond immediately to problems to ensure every child experiences success<br />Data reviewed in collaboration with other educators allows teachers to replicate practices that are successful, and share that success with other educator at building or district levels<br />
  5. 5. Luck is not a Factor<br />To produce high results means we must understand the preceding events, factors and causes that affect student achievement <br />Once we understand these antecedents, we can identify, document, then replicate successful strategies and stop practices that are not productive <br />
  6. 6. Personal Assessment<br />What teaching strategies have I been trained in that I’m using consistently ?<br />Reading Apprenticeship! Collins Writing! Elementary Math Lab! Other!<br />How do these strategies impact my teaching effectiveness?<br /> What do I use every day . .<br />Graphic organizers <br /> Vocabulary <br />Word Walls<br />Collins writing<br />. . .and how is it producing success for my students?<br />
  7. 7. Before we meet: Personal Reflection<br />Behaviors ( Teacher )<br />How do my classroom rituals facilitate learning?<br />How do I know that my students know how to “do school?”<br /> Do I have support (Para-pro, TC) in my classroom? <br />If I have support, do we collaborate on strategies?<br />Are pull outs by TC’s helping or hindering achievement?<br />How do existing afterschool tutoring programs helping my students achieve? <br />
  8. 8. Asking the right questions for Purpose driven data collection<br />If I have no data, what do I use as the basis for my instructional decisions?<br />The curriculum map?<br />The text books?<br />GLCE/HSCE?<br />How will I use data to inform my instruction and improve student achievement?<br />How will I determine what data is the most important to use?<br />Is what I’m doing helping my students reach their goals?<br />What results am I getting?<br />
  9. 9. Michigan GLCE’s & HSCE’s<br />The content expectations should serve as a guide in the development of appropriate curriculum to meet middle school passing requirements, and provide a foundation for building high school graduation Michigan Merit Curriculum, and the Michigan Merit Examination requirements. <br />Content expectations should not be viewed as a list of items that must be checked off one by one. <br />
  10. 10. Depth not Volume<br />
  11. 11. Data Teams<br />It’s working there. . .Can it work here?<br />
  12. 12. 5 Step Process<br />COLLECT & CHART DATA<br />ANALYZE STRENGTHS, OBSTACLES, PATTERNS, TRENDS OF PROFICIENT AND NON-PROFICIENT STUDENTS (Limited info-Can’t stay on topic-No stamina in reading, etc)<br />ESTABLISH GOALS: Set* Review* Review<br />SELECT INSTRUCTIONAL STRATEGIES, MATERIALS, ASSESSMENT TOOLS<br />DETERMINE RESULTS INDICATORS (Is is working?)<br />
  13. 13. Our Data Team <br />What will the Team look like?<br />Who can meet and when and how (face to face, emails, iChat?)<br />Where will we keep our information (Google docs, Moodle, flash drives?)<br />Who will take info back to other members?<br />How will administrator(s) assist us? <br />
  14. 14. What to expect of Data Teams<br />Initial Meeting we will . . .<br />Set Roles<br />Establish Norms – set meeting day(s), time, deadlines<br />Understand the purpose and work involved to be successful<br />Understand each component of 5-Step Process<br />Create or select the post/pre-assessment – a common formative assessment<br />
  15. 15. Creating the Team <br />Identify members – teachers, para-pros, TCs, tutors<br />Communicate Expectations – values, beliefs, commitments<br />Form Teams – grade level, subject<br />Identify leaders, stakeholders<br />Schedule regular meetings with team & with administration<br />Display data, graphs <br />Create communication system<br /> Internal (agenda, minutes, tables charts, graphs) <br />External (reports to all stakeholders) <br />
  16. 16. Effective Collaboration<br />Affects Educators <br />Shared beliefs & definitions about student achievement impact the way I teach<br />Share inquiry <br />Study results<br />Commit to action/strategies<br />Continuous improvement<br />Affects Student Achievement<br />
  17. 17. What does success look like in my school?<br />Teachers <br />Administrators<br />
  18. 18. Common Assessments<br />Consistency <br />Agreed upon expectations<br />Documented in Maps<br />Identify effective practices<br />Alignment<br />Power Standards<br />GLCE/HSCE<br />Successful practitioners sharing their strategies in every area – lecture, labs, projects<br />
  19. 19. Roles of Data Team<br />Recorder<br />Take Minutes<br />Distribute information to Data Team Leaders<br />Colleagues & Administrators<br />Focus Monitor <br />Reminds members of tasks , purposes<br />Refocuses dialogue on processes and agenda items<br />Diffuses negative directions<br />
  20. 20. Roles of Data Team Members<br />Timekeeper <br />Follows time frames allocated on agenda<br />Keeps members informed of time frames during dialogues<br />Commitment to Purpose<br />
  21. 21. Team Roles: Data Technician<br />Translate data into clear, simple graphs<br />Enter information on charts<br />Distribute graphs to team and administrators <br />Provide data forms to members<br />Set dates for when forms must be returned<br />Compute grade level percentages and student totals for content assessment<br />
  22. 22. Team Leaders<br />Represents Team, acts as administrative liaisons for the team and Direct the data team process<br />Promote Dialogue that focuses on data, Cultivates professional relationships<br />Remain neutral while posing probing questions<br /> Willing and able to effectively address peers, colleagues who are not cooperating with team goals, directives<br /><ul><li> Strong communicator who sets agenda for data meetings
  23. 23. Meets monthly with administrators and other data team leaders
  24. 24. Challenges assumptions
  25. 25. Believes in data driven decision making process and are committed to success
  26. 26. Is a Volunteer/Selected by peers
  27. 27. Committed to make time to lead</li></li></ul><li>What’s in a meeting?<br />With Team<br />Agenda driven<br />Results from Pre/post-assessment<br />Strengths & obstacles<br />Goals<br />Instructional strategies<br />Results indicators<br />With Administrator<br />Assessment schedules<br />Intervention needs<br />Resources<br />Achievement gaps<br />Successes & challenges<br />Monitoring progress<br />
  28. 28. SMART Goals<br />S = Specific<br />M = Measurable<br />A = Achieveable<br />R = Relevant<br />T = Timely<br />
  29. 29. Cause Data = % of. . .<br />Student learning goals that are set, reviewed<br />Teaching strategies that support student learning goals<br />Homework – completed successfully, turned in<br />Real-life applications of skills, concepts<br />Reteaching items from test or quiz<br />
  30. 30. Tell Your Story: Data Display<br />Display in a Prominent place: Halls, Classrooms, Newsletters<br />Data – State & District<br />Strategies – Adult Actions <br />Analysis – why we’re getting these results<br />
  31. 31. In today’s world of accountability, data analysis is essential to measuring student progress and ensuring that gains are being made.<br />Beyond the Numbers: making data work for Teachers & School Leaders by Stephen White, 1005<br />
  32. 32. The Leadership & Learning Center <br />Resources – <br />Data Teams (2008) Besser, L. Anderson-Davis, D., Peery, A. et al. Lead & Learning Press, Englewood, CO <br />Beyond the Numbers (2005) White, S. Lead & Learn Press, Englewood, CO. <br />MEAP Data, State of Michigan<br />Compiled by Paula Sizemore, IRC, Data Teams PD<br />
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×