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USING DATA TO MAKE DECISIONS: Results from the Minnesota Statewide DDDM Readiness Study Dr. Scott McLeod Dr. Karen Seashore University of Minnesota
Get this presentation ,[object Object],[object Object]
9 essential elements of  data-driven PLCs Frequent formative assessments Professional learning communities rooted in student information Making instructional changes ,[object Object],[object Object],Good  baseline data Measurable instructional goals
Respondents
Respondents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Respondents by gender, race / ethnicity 96% White
Respondents by urbanicity
Respondents by level
Respondents by AYP status
Assessment Intensity
9 essential elements of  data-driven PLCs Frequent formative assessments Professional learning communities rooted in student information Making instructional changes ,[object Object],[object Object],Good  baseline data Measurable instructional goals
I receive state assessment  results each year [teachers]
I receive state assessment  results each year [teachers]
I receive other yearly assessment  results each year [teachers]
I receive other yearly assessment  results each year [teachers]
Teachers collaborate to create and use common periodic assessments for student progress monitoring [teachers]
Teachers collaborate to create and use common periodic assessments for student progress monitoring [teachers]
Teachers use other (not teacher-created) periodic assessments for student progress monitoring [teachers]
Teachers use other (not teacher-created) periodic assessments for student progress monitoring [teachers]
Summary ,[object Object],[object Object],[object Object],Let’s Recap
Beliefs About Types of Assessments
9 essential elements of  data-driven PLCs Frequent formative assessments Professional learning communities rooted in student information Making instructional changes ,[object Object],[object Object],Good  baseline data Measurable instructional goals
Assessments are aligned with state curriculum standards
Assessment results are easy to understand and interpret
Assessment results are detailed enough to adequately inform teachers’ instruction
Assessment results are timely enough to adequately inform teachers’ instruction
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],Let’s  Recap
Other Components of the Core
9 essential elements of  data-driven PLCs Frequent formative assessments Professional learning communities rooted in student information Making instructional changes ,[object Object],[object Object],Good  baseline data Measurable instructional goals
Measurable instructional goals
Measurable instructional goals
Measurable instructional goals
Teacher teams (PLCs) that meet regularly
Teacher teams (PLCs) that meet regularly
Teacher teams (PLCs) that meet regularly
Making instructional changes
Making instructional changes
Making instructional changes
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],Let’s  Recap
Supporting Conditions
9 essential elements of  data-driven PLCs Frequent formative assessments Professional learning communities rooted in student information Making instructional changes ,[object Object],[object Object],Good  baseline data Measurable instructional goals
Data access and transparency
Data access and transparency
Data access and transparency
Data safety
Data safety
Data safety
Technology
Technology
Technology
Alignment for results
Alignment for results
Alignment for results
Summary ,[object Object],[object Object],[object Object],[object Object]
Other Factors
Leadership and support
Leadership and support
Leadership and support
Professional development
Professional development
Professional development
Beliefs
Beliefs
Beliefs
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Let’s recap
A Few Last Things
Teachers most likely to agree that… ,[object Object],[object Object],[object Object],[object Object],[object Object]
Teachers most likely to disagree that… ,[object Object],[object Object],[object Object],[object Object],[object Object]
Miscellaneous comments
Our success as educators should  be determined primarily by our  impact upon student learning
Our success or failure in teaching students is primarily due to factors beyond our control rather than to our own efforts and ability
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Overall summary of descriptive statistics Let’s recap
9 essential elements of  data-driven PLCs Frequent formative assessments Professional learning communities rooted in student information Making instructional changes ,[object Object],[object Object],Good  baseline data Measurable instructional goals
Next steps = more sophisticated statistics ,[object Object],[object Object],[object Object]
Next steps = more sophisticated statistics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Wrap-up ,[object Object],[object Object],[object Object]

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