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Data Driven Decision Making for Schools and Organizations: An Introduction

Data Driven Decision Making for Schools and Organizations: An Introduction. Richard Smart & Ryan Casavant JHU, Spring 2010. When do we use data?. What is Data-Driven Decision Making ?. Data is factual information used as a basis for calculation, discussion or reasoning.

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Data Driven Decision Making for Schools and Organizations: An Introduction

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  1. Data Driven Decision Making for Schools and Organizations:An Introduction Richard Smart & Ryan Casavant JHU, Spring 2010

  2. When do we use data?

  3. What is Data-Driven Decision Making? • Data is factual information used as a basis for calculation, discussion or reasoning. • DDDM is the use of data to make decisions about: • Policies, • Programs, • And individual Student Achievement.

  4. DDDM in education refers to teachers, principals, and other administrators thoroughly collecting and analyzing various types of data, including demographic, achievement, process and perception data, to guide a range of decisions and help improve the success of students and schools. Marsh, J. "How Instructional Coaches Support Data-Driven Decision Making: Policy Implementation and Effects in Florida Middle Schools”, Educational Policy, August 2009

  5. Who Uses DDDM? • State Education Agencies • School Boards • Principals, Teachers and Administrators • Colleges and Universities • Don’t forget Private Business

  6. Data Descriptors Information Knowledge Qualitative Quantitative Tacit Explicit

  7. Continuum of Understanding Source http://www.nwlink.com/~Donclark/performance/understanding.html Cleveland H. "Information as Resource", The Futurist, December 1982 p. 34-39.

  8. Data Types Demographic Data: Background information on students, staff, and schools. Such as gender, ethnicity, number of years in the district, attendance, teacher certification and school enrollment. Perception Data: Individual views, values and beliefs about systems where people work and learn. May be gathered through questionnaires, interviews and observations. Achievement Data: Student results on state assessments, district tests and teacher-development tests. Process/Program Data: Information about the curriculum, interventions the students experienced, the teachers students were taught by and so on.

  9. The Process of Data Driven Decision Making Begins with a problem Follows a cycle Three sample models (W. Matsuzaki)

  10. Model 1 Six Steps to Organizing Goals and Data • Establish Goals • Identify Related Outcomes, Practices and Inputs • Determine Data Success and Indicators • Examine the Data • Set Performance Targets • Monitor Performance over Time

  11. Model 2

  12. Model 3

  13. In summary… Data are ubiquitous Data drives educational programs, policies and student achievement Data have a language Data need to be carefully processed

  14. All images under CC license and found on flickr. Attributions below. • Mortgage sign – “House with a pool” by TheTruthAbout • Car – “1949 Mercury” by CurtisPerry • Smoke Stack – “Climate Change?” by dacitydrifter • Surgeon – “The Proctologist” by bitzcelt • Die – “Pals Forever” by rodandnancy80538 • Child alone – “ChoColat Chaud” by xyotiogyo

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