EDHD435
Assessment & Design Strategies with Technology Tools Module

Readings

1 | 2 | 3 | 4

READINGS 1: Preparation for Session 1, October 11^th

Required: (skim only--shouldn't take much time)

• Overview [PPT]
• Brenda Benson's presentation: Using Data for Instructional Decisions [PPT]
• What does this have to do with anything? [Word ... PDF]
• Skim Richard J. Stiggins, "Assessment Crisis:The Absence of Assessment FOR Learning," Phi Delta Kappan,Vol. 83, No. 10, June 2002, pp. 758-765.
• Skim Paul Black and Dylan Wiliam, "Inside the Black Box: Raising Standards Through Classroom Assessment". King's College London School of Education, November 6, 2001

For Reference:

• Go to www.edtechpolicy.org -> on left scroll click on Resource Center -> scroll down to chart and choose "How to" -> choose Excel. Here you will find a plethora of tutorials on Excel.
• Welcome to the Toolbelt. A Collection of Data Decision-Making Tools for Educators.
• Using Data to Improve Student Achievement. MSDE Online tutorial (created in partnership with COE EDPL & ETO)
• Monitoring Student Progress part of the Analyzing and Using Data tutorial from MSDE.
• Resources from Maryland Schools

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READINGS 2: Preparation for Session 2, October 25^th

• Protheroe, N. (2001). Improving teaching and learning with data-based decisions: asking the right questions and acting on the answers. ERS Spectrum.
• Cooper, C., & Cromey, A. (Summer 2000). Teachers and Students as Action Researchers: Using Data Daily. NCREL's Learning Point Magazine. Volume 2, No. 2 How Schools Use Data to Help Students Learn.
• Syllabus Magazine Standards Update: An Interview with Ed Walker Discusses standards impact on faculty and post secondary.
• Selected text from The Toolbelt. A collection of data-driven tools for educators. Step 2. Collect and organize Data.
• Selected text from The Toolbelt. A collection of data-driven tools for educators. Step 3. Analyze Data Patterns.

For Reference:

• Go to www.edtechpolicy.org -> on left scroll click on Resource Center -> scroll down to chart and choose "How to…" -> choose Excel. Here you will find a plethora of tutorials on Excel.
• Means, B., Blano, O., Middleton, C. 1993. Using technology to support education reform. U.S. Department of Education, Washington, DC.
• Maryland Teacher Technology Standards
• MSDE PT3 Performance Tasks Summaries :Standard IV
• Scavenger Hunt Suggested Responses [Word ... PDF]

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READINGS 3: Preparation for Session 3, November 1^st

• Class notes - Brief Definition of Standard Deviation and Variance [Word ... PDF]
• Excel Conditional Formating Notes [Word ... PDF]
• Excel as Database Notes [Word ... PDF]

• Bernhardt, V. L. (2000). New routes open when one type of data crosses another. Journal of Staff Development, 21(1). [PDF] (~ 4 pages)
• Chappuis, S. and Stiggins, R.J. (2002). Classroom assessment for learning: This model of evaluation is a means to success, not just a measure of it. ASCD Educational Leadership September 2002
• Kimball, C. & Cone, T. (2002). Performance assessment in real time. The School Administrator April 2002.

For Reference:

• Go to www.edtechpolicy.org -> on left scroll click on Resource Center -> scroll down to chart and choose "How to…" -> choose Excel. Here you will find a plethora of tutorials on Excel.
• American Educational Research Association. (2000). AERA position statement concerning high-stakes testing in prek-12 education.(~ 3 pages due to formatting)
• Bolon, C. (2000). School-based standard testing. Education Policy Analysis Archives, 8(23). EXCELLENT BACKGROUND/HISTORIAL PRESPECTIVE ON TESTING!
• Webb, N. L. (1997). Determining alignment of expectations and assessments in mathematics and science education. NISE Brief, 1(2). ( 11 pages but really only 9 the rest are references)

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READINGS 4: Preparation for Session 4, November 8^th

• Moore, W. Facts and assumptions of assessment: Technology, The Missing Link. T.H.E. Journal. January 2003.
• Black, P. & William, D. 1998. Inside the black box: Raising Standards through classroom assessment. Phi Delta Kappan.
• Yeagley, R. (2003). The demand of data under NCLB. The School Administrator. December 2003.
• Mehrens,W. 1998. Consequences of assessment: What is the evidence? Educational Policy Analysis Archives, 6(13).

For Reference:

• Go to www.edtechpolicy.org -> on left scroll click on Resource Center -> scroll down to chart and choose "How to…" -> choose Excel. Here you will find a plethora of tutorials on Excel.
• NCREL's Learning Point Magazine How Schools Use Data to Help Students Learn (multiple articles on data and assessment)
• Cromey, A. (2000, November). Using student assessment data: What can we learn from schools? Policy Issues, 6, 1-10. Oak Brook, IL: North Central Regional Educational Laboratory. (NCREL tutorial)
• Loveless, T. (2000). The Brown Center report on American education: 2000. How well are American students learning? . (annual report)

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