Data-Driven Decision Making
For Better Instruction
Online Course
Week 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.
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?
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
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
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
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.pdf