Greetings! It’s February, which means love is in the air. This month I am sharing the love by providing you with a delicious assortment of brain candy. I’m not talking about those little boxes of Sweethearts with the little love notes on them – I’m talking about passion-fueled, mind-blowing, everlastingly educational knowledge that will make your significant other colleague jealous. That’s right, this month I’m sharing with you a beautiful bouquet of data knowledge.
Enclosed in this article are lists of perfectly crafted publications, unwavering websites, and divine data users that will have you gallivanting through your data reports with glee. These tasteful trinkets represent the labor of love by one of my close colleagues, Nathan Anderson, who shared these resources for all of you to have and to hold. If you have any resources, website, or people you follow and think should be added to this list, please email me at email@example.com and we’ll be happy to continue expanding this list! Read on and may your love for data be boundless.
(arranged chronologically by publication year)
Guide to using the Teacher Data Use Survey. Wayman, J. C., Wilkerson, S. B., Cho, V., Mandinach, E. B., & Supovitz, J. A. (2016). (REL 2017–166). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Appalachia.
Data literacy for educators: Making it count in teacher preparation and practice. Mandinach, E. B., & Gummer, E. S. (2016). New York, NY: Teachers College Press.
How to make data work: A guide for educational leaders. Rankin, J. G. (2016). New York, NY: Routledge.
Assessment literacy standards: A national imperative. Michigan Assessment Consortium. (2015). Lansing, MI: Author.
Research on implementing big data: Technology, people, and processes. Rankin, J. G., Johnson, M., & Dennis, R. (2015, March 3). Paper presented at Society for Information Technology & Teacher Education conference.
SLDS data use standards: Knowledge, skills, and professional behaviors for effective data use, version 2. Statewide Longitudinal Data Systems Grant Program. (2015). Washington, DC: U.S. Department of Education, National Center for Education Statistics.
Toolkit for a workshop on building a culture of data use. Gerzon, N., & Guckenburg, S. (2015). (REL 2015–063). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Northeast & Islands.
Data, data everywhere: Bringing all the data together for continuous improvement. Bernhardt, V. (2013). New York, NY: Routledge.
Five steps for structuring data-informed conversations and action in education. Kekahio, W., & Baker, M. (2013). (REL 2013-001). Washington, DC: US Department of Education, Institute of Education Services, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Pacific.
Translating data into information to improve teaching and learning. Bernhardt, V. (2013). New York, NY: Routledge.
District and school team data toolkit. Geier, R., & Smith, S. (2012). Everett, WA: Washington Office of Superintendent of Public Instruction, Washington School Information Processing Cooperative, and Public Consulting Group.
Using data to guide action for school improvement. Nebraska Department of Education, & North Central Comprehensive Center at McREL. (2012). Denver, CO: McREL.
A practical framework for building a data-driven district or school: How a focus on data quality, capacity, and culture supports data-driven action to improve student outcomes.[White paper]. Ronka, D., Geier, R., & Marciniak, M. (2010). Boston, MA: Public Consulting Group.
Use of education data at the local level from accountability to instructional improvement. U.S. Department of Education, Office of Planning, Evaluation, and Policy Development. (2010). Washington, DC: Author.
Implementing data-informed decision making in schools: Teacher access, supports and use. U.S. Department of Education, Office of Planning, Evaluation and Policy Development. (2009). Washington, DC: Author.
Moving toward a comprehensive assessment system: A framework for considering interim assessments. Perie, M., Marion, S., & Gong, B. (2009). Educational Measurement: Issues and Practice, 28(3), 5-13.
Using student achievement data to support instructional decision making. Hamilton, L., Halverson, R., Jackson, S., Mandinach, E., Supovitz, J., & Wayman, J. (2009). (NCEE 2009-4067). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education.
Involving teachers in data-driven decision making: Using computer data systems to support teacher inquiry and reflection. Wayman, J. C. (2005). Journal of Education for Students Placed at Risk, 10(3), 295-308.
Using data to improve schools: What’s working? American Association of School Administrators. (2002). Arlington, VA: Author.
- Academic progress monitoring tools chart
- Collaborative inquiry toolkit
- Data for Decisions
- Michigan Assessment Consortium
- MTSS/RTI glossary of terms
- North Dakota’s Multi-Tier System of Support
- RTI action network glossary
- Screening glossary of terms
- Statewide Longitudinal Data Systems Data Use Standards
- The Glossary of Education Reform
- Twitter: @DavidRonka
- YouTube: Why data should be over-the-counter
- Facebook: School Wise Press
- Facebook: Education for the Future