McLeod, S. (2006). Essential elements of data-driven PLCs. A one-page diagram of an overall framework for thinking about DDDM in K-12 schools.

McLeod, S. (2005). Data-driven teachers. Available at http://www.microsoft.com/education/ThoughtLeadersDDDM.mspx. Describes in more detail an overall framework for thinking about DDDM in K-12 schools.

McLeod, S. (2005). Technology tools for data-driven teachers. Available at http://www.microsoft.com/education/ThoughtLeadersDDDM.mspx. Describes the available options for summative and formative data collection and analysis.

UCEA Center for the Advanced Study of Technology Leadership in Education. (2005). School data tutorials. Available at http://www.schooldatatutorials.org. Free tutorials to teach educators how to work with and analyze student and school data.

McIntire, T. (2005, April 15). Maximize your mining. Available at http://www.techlearning.com/shared/printableArticle.jhtml?articleID=160400818. Describes what schools ARE striving to do with DDDM.

McIntire, T. (2005, June 15). Maximize your mining, part two. Available at http://www.techlearning.com/shared/printableArticle.jhtml?articleID=164300240. Describes what schools SHOULD be trying to do with DDDM.

Black, P., & Wiliam, D. (1998) Inside the black box: Raising standards through classroom assessment. Available at http://www.pdkintl.org/kappan/kbla9810.htm. Describes the power and the potential of formative assessments in K-12 schools.

Safer, N., & Fleischman, S. (2005). How student progress monitoring improves instruction. Available at www.ascd.org. A great article to give to teachers about the power and potential of progress monitoring during the year.

Supovitz, J.A., & Klein, V. (2003). Mapping a course for improved student learning. Available at http://www.cpre.org/Publications/AC-08.pdf. A fabulous overview of how schools can effectively use progress monitoring data.

Ysseldyke, J, & McLeod, S. (2006). Formative assessment software. A one-page list of vendors providing technology-based formative assessment systems for the K-12 market.

xplane. (2004). Improving achievement through student data management. A one-page graphic overview of data warehouses.

McLeod, S. (2005). K-12 data warehouse vendors. A one-page list of data warehouse vendors serving the K-12 market.

Wayman, J. C., Stringfield, S., & Yakimowski, M. (2004, January). Software enabling school improvement through analysis of student data. A report comparing different data warehouse systems.

Eduventures. (2003, November). Making sense of the data: Overview of the K-12 data management and analysis market. A report comparing different data warehouse systems.

Sarmiento, J. W. (2004). Technology tools for the analysis of achievement data: An introductory guide for educational leaders. A report comparing different data warehouse systems.

McLeod, S. (2003, October 29). E-mail to NSBA TLN listserv. Things to consider when buying a data warehouse system.

McIntire, T. (2004). Eight buying tips: Data warehouses. Available at http://www.techlearning.com/shared/printableArticle.jhtml?articleID=26806926. Things to consider when buying a data warehouse system.

McIntire, T. (2003, November 15). Buying an assessment system: Five considerations. Available at http://www.techlearning.com/shared/printableArticle.jhtml?articleID=16000696. Things to consider when buying a data warehouse system.

ESP Solutions Group. (2004). Ensuring data quality. A one-page graphic overview of the steps necessary to ensure high levels of data quality.

McIntire, T. (2002, June 15). The administrator's guide to data-driven decision-making. Available at http://www.techlearning.com/db_area/archives/TL/2002/06/guide.html. An overview of the steps necessary to ensure high levels of data quality.

2005, Education Trust

2005, Education Trust

2001, LAB

2006, Partnership for 21st Century Skills

2006, Bill and Melinda Gates Foundation

2005, Education Trust

A list of the questions used by the Woodland Elementary PLCs when they meet each month to discuss their progress monitoring data.

A packet that can be used with PLCs or teacher teams to identify critical skills, possible assessments, and instructional resources that then can be used to create pyramids of intervention.

An example of the Excel data templates we're creating with the Osseo (MN) Area Schools - MATH.

Another example of the Excel data templates we're creating with the Osseo (MN) Area Schools - READING.

Another example of the Excel data templates we're creating with the Osseo (MN) Area Schools - DISCIPLINE.

A podcast on data-driven decision-making. Done with Tim Wilson of The Savvy Technologist.

Presents a professional development framework for data-driven school improvement. Being created in conjunction with the Chicago (IL) Public Schools.

Description of the data-driven decision-making courses offered by the University of Minnesota College of Education and Human Development.

A description of the workshops offered by School Technology Leadership Associates, Inc. to build capacity in schools to work with raw student and school data.