To prepare:
Review the following:
Chapter 11 in the course text
Chapter 4 in the Bambrick-Santoyo (2010) text
The video Data-driven Instruction and Assessment: Bethel School District—Data Influences on Instructional Decisions
The video Data-driven Instruction and Assessment: Spotlight on data—Analyzing and Sharing Data and Making Decisions About Next Steps
The video Data-driven Instruction and Assessment: Leadership Challenges in a Changing Society
Consider all types of qualitative information that may impact understanding of existing gaps in quantitative data.
Consider the following scenario: As a new CIA district leader, one of your first tasks might be to review quantitative district data on student achievement. There has been a significant drop in reading and writing scores in the district in the past 5 years.
Write: Explain the qualitative data you would need to better understand the gaps in student achievement. Include an explanation for how andragogy would be used to work with teachers.
Support your recommendations by citing sources in your response.
References
Bernhardt, V. L. (2016). Data, data everywhere: Bringing all the data together for continuous school improvement (2nd ed.). New York, NY: Routledge.
Chapter 11, “Strategies for Teachers: Using Data to Improve Teaching and Learning” (pp. 87–94)
DuFour, R., & Fullan, M. (2013). Cultures built to last: Systematic PLCs at work. Bloomington, IN: Solution Tree Press.
Dufour, R. (2015). How PLCs do data right. Educational Leadership, 73(3), 22–26.
DuFour, R., & Reeves, D. (2016). The futility of PLC Lite. Phi Delta Kappan, 97(6), 69–71.
Dunn, K. E., Airola, D. T., Lo, W-J., & Garrison, M. (2013). Becoming data driven: The influence of teachers’ sense of efficacy on concerns related to data-driven decision making. The Journal of Experimental Education, 81(2), 222–241.
Knowles, M. S., Holton III, E. F., & Swanson, R. A. (2015). The adult learner: The definitive classic in adult education and human resource development (8th ed.). New York, NY: Routledge.
Laureate Education (Producer). (2011k). Data-driven instruction and assessment: Spotlight on data—Analyzing and sharing data and making decisions about next steps [Video file]. Baltimore, MD: Author.
Laureate Education (Producer). (2011d). Data-driven instruction and assessment: Bethel School District—Data influences on instructional decisions [Video file]. Baltimore, MD: Author.
Laureate Education (Producer). (2011h). Data-driven instruction and assessment: Leadership challenges in a changing society [Video file]. Baltimore, MD: Author.
