1. Data-Driven Decision Making For Better Instruction Online Course Week 2

2. Weekly Objectives 1.Obtain skills necessary to create a computerized "Data Collection Tool" for collecting student information that will be used to improve classroom instruction. 2.Read websites, Word documents, and PowerPoint presentations about collecting data, different data types, creating questions before building the Data Collection Tool, and scoring system. 3.Discuss information regarding collecting data with teammates. 4.Submit details about Data Collection Tool Final Project.

3. Reflections As you review the PowerPoint presentation think about the following questions: What is the difference between Demographic, Process, and Outcome Data? Which of the different types of data have you used? Can you relate to the 10 Things you Always Wanted to Know about Data-Driven Decision Making? How does it relate to your profession?

4. 10 Things You Always Wanted To Know About Data-Driven Decision Making 1.If you're not using data to make decisions, you're flying blind. 2.This is all about a process, not a specific technology. 3.Get ready to feel threatened. 4.You will be spending more money, not less. 5.Data-driven decision making does not save time. Article: http://content.scholastic.com/browse/article.jsp?id=423 http://content.scholastic.com/browse/article.jsp?id=423

5. 10 Things You Always Wanted To Know About Data-Driven Decision Making 6.Your data's cleanliness is next to Godliness. 7.Don't shoot first and ask questions later. 8.A good D3M solution is one you can afford to change. 9.NLCB is just the beginning of your journey. 10.Word of warning: D3M is highly addictive. Article: http://content.scholastic.com/browse/article.jsp?id=423 http://content.scholastic.com/browse/article.jsp?id=423

6. Various Data Collection Tools Disaggregated student data in a spreadsheet or chart A classroom observation tool using a form, checklist or database An interview form to use with colleagues, students and parents Teacher, parent and student surveys A digital portfolio for each teacher to collect evidence Performance assessment tools that include examples of student products Threaded discussions, other online discussion tools, or databases for teachers to store or share reflections of what is working or not. Article: http://www.techlearning.com/story/showArticle.jhtml?articleID=13100789 http://www.techlearning.com/story/showArticle.jhtml?articleID=13100789

7. Three Types of Data According to the Reading Success Network, there are the following Data Types: Demographic Data Process Data Outcome Data Demographic Data – Provides vital statistics regarding the students, their families, and the community. Process Data – Includes information relating to the school’s efforts to promote a high level of student achievement. Outcome Data – Describes how a student is doing at a particular point of time. Article: http://www.sedl.org/secac/rsn/usingdata.pdfhttp://www.sedl.org/secac/rsn/usingdata.pdf