This report documents the work of one component of a larger research effort. The objective of the project is to understand what schools of education are doing to prepare teachers to use data in their practice. The issue is multifaceted, complex, and systemic. Schools of education do not act alone to suddenly introduce courses on data-driven decision making into their curricula because they have a whim to do so, or because policymakers say that data literacy among educators is important. Schools of education must come to realize on their own that building the human capacity to use data among their teacher candidates is a response to needs from the field, stimulated in part by policymakers' rhetoric that education must become an evidence-based field. The study contains three distinct, but interconnected components that, in combination, provide a depiction of the landscape of teacher preparation and data literacy. The components include a survey to schools of education, a review of selected syllabi, and an analysis of state licensure documents and requirements. This document focuses on the survey component. This report is formally about the responses from schools of education to a survey they received asking about how data use was implemented in their teacher preparation program. The survey sought to understand in detail if, and if so, how, different schools of education from across the country were preparing the teaching candidates to use data for educational decision making. This was accomplished by asking a series of detailed questions about the school; the school's teacher preparation program including stand-alone data courses and courses where data use was integrated; the school's plans for new courses; and opinions of the emphasis on data use from the department of education and accreditation organizations. The survey was endorsed by the National Board of Professional Teaching Standards, the American Association of Colleges of Teacher Education (AACTE), the Council for the Accreditation of Teacher Preparation (NCATE), and the National Association of State Directors of Teacher Education and Certification (NASDTEC). It was open from March 7 until June 30, 2013 through an online survey program. In total, 836 schools of education from across the United States and territories were invited to participate in the survey. The survey was comprised of 49 questions divided into eight sections: General Demographic Information about the School of Education; Stand-Alone Courses that Address Data Use for Educational Decisions; About the Course; Integration of Data Use Concepts and Skills into other Courses; Integration of Data Use Concepts and Skills into Field Experiences; Integration of Data Use Concepts and Skills across Program; Plans to Develop or Implement New Courses or Emphases on Data Use Concepts and Skills; and State and Federal Issues. In all, respondents from 208 of the 836 schools completed the survey, for a response rate of 24.9 percent. Respondents overwhelmingly report that data use is at least somewhat integrated into their teacher preparation program. Overall, 93.4 percent of respondents said that use of data to inform teaching and learning is a sustained component of at least part of their school's teacher preparation program. The survey responses indicate that responding colleges and universities claim that the subject of data use for educational decisions is a strong element of their teacher preparation program. The survey shows that respondents report assessment items as being more prominent components of their data use courses than are non-assessment items. This is a starting point for analysis of the survey. There are over 50,000 cells of survey results on which analysis is being conducted; and as additional questions and thoughts arise, additional analysis will be conducted. The following are appended: (1) Survey of Schools of Education; and (2) General Demographic Information. [For "Analysis of Syllabi Intending to Prepare Teachers to Be Data Literate: An Interim Report," see ED568598. For "An Analysis of the Licensure Requirements That Pertain to Data Literacy: An Interim Report, Revised," see ED568597.]
Related Organizations
- Authorizing Institution
- ['WestEd', 'Michael & Susan Dell Foundation']
- Education Level
- ['Higher Education', 'Postsecondary Education']
- Peer Reviewed
- F
- Publication Type
- ['Reports - Research', 'Tests/Questionnaires']
- Published in
- United States of America
Table of Contents
- An Analysis of the Survey of Schools of Education on Use of Data in their Teacher Preparation Programs 1
- BACKGROUND COMMENTS 3
- RELEVANT LITERATURE 3
- WHAT DO POLICY AND RESEARCH SAY 3
- Educational Researcher 4
- PROJECT DESCRIPTION 5
- METHODS 5
- SUMMARY OF FINDINGS 8
- Kinds of Data 12
- Assessments and Assessment Topics 12
- Data Systems 12
- Data Tools 13
- Processes Important for Data Use 13
- CONSIDERATIONS TO TAKE AWAY 14
- CONCLUDING THOUGHTS 15
- Remarks 18
- InTASC model core teaching standards A resource for state dialogue. 18
- From unusable to useful assessment knowledge A design problem 18
- Transforming teacher education through clinical practice A national strategy to prepare effective teachers 18
- Data use in practice Examples from the school level 18
- InTASC model core teaching standards A resource for state dialogue 18
- Definition of what it means to be a data 18
- Federal leadership to support state longitudinal data systems. 18
- Secretary Arne Duncan addresses the Fourth Annual IES Research Conference 18
- Testimony before the House Education and Labor Committee 18
- Data The truth teller in education reform 18
- Secretary Arne Duncans remarks to National Council for Accreditation 18
- Leading education into the information age Improving student outcomes with 18
- ERS Spectrum 19 18
- Using 18
- Evidence and decision making 106th yearbook of the National Society for the Study of Education Part I 19
- Data use What we know about school-level use. 19
- Educational Psychologist 19
- The complexities of integrating data-driven decision making into 19
- Journal of Educational Research and Policy Studies 13 . 19
- Educational Researcher 42 19
- Data-driven school improvement Linking data and 19
- The impact of data-driven decision 19
- Making sense of data-driven decision making in education 19
- Turning data into knowledge Lessons from six Milwaukee public schools. 19
- Use of education data at the local level From accountability to 19
- Achieving a wealth of riches Delivering on the promise of data to transform teaching and 19
- Data literacy 19
- Journal of Teacher Education 38 19
- Race to the Top program Executive summary 19
- Journal of Teacher Education 42 20
- GENERAL DEMOGRAPHIC INFORMATION 47
- STAND-ALONE COURSES THAT ADDRESS DATA USE FOR EDUCATIONAL DECISIONS 50
- ABOUT THE COURSE 51
- INTEGRATION OF DATA USE CONCEPTS AND SKILLS INTO OTHER COURSES 58
- INTEGRATION OF DATA USE CONCEPTS AND SKILLS INTO FIELD EXPERIENCES 66
- INTEGRATION OF DATA USE CONCEPTS AND SKILLS ACROSS PROGRAM 66
- PLANS TO DEVELOP OR IMPLEMENT NEW COURSES OR EMPHASES ON DATA USE CONCEPTS AND SKILLS 67
- STATE AND FEDERAL ISSUES 67