Navigating the Site
You will explore the data-driven decision-making process over the course of five modules. Each module is designed to achieve specific learning objectives for the user and presented in a sequential progression of knowledge and skills. Though we encourage you to engage with all five modules in order, you may also choose to view the learning objectives at the beginning of each module and decide whether the content meets your current needs.
Move among the modules by using the left-hand navigation menu. Use the right-hand navigation menu categories to work your way through the module content. Each module contains the following elements:
- Introduction, learning objectives, key words, and case studies
- Explanation of module concepts, activities designed to apply those concepts, videos featuring data-driven decision-making experts
- Summary of module, review questions, and downloadable supplemental materials to enhance and extend your learning
To continue familiarizing yourself with the website, click on Workbook in the right-hand navigation.
As you progress through the modules, you will have many opportunities to apply your learning through interactive activities. Often these activities refer you to the writeable PDF workbook to brainstorm, explore, and draft specific ideas for your own data-driven decision-making process. After you have completed all workbook activities, you will have a useful outline of how you can investigate the particular issues or concerns in your educational environment. We strongly encourage you to utilize the completed workbook as a conversation-starter with your colleagues. Click below to download the writeable PDF workbook, and save a version to your computer to preserve your work.
To continue familiarizing yourself with the website, click on Case Studies in the right-hand navigation.
Throughout the modules, we present the data-driven decision-making process of three educators: a high school teacher using data in his classroom, a community college department chair using data at the department level, and a university administrator using data to understand institutional issues. We encourage you to follow along with the experiences of these three individuals, paying particular attention to the case studies that best reflect the realities of your professional roles.
At the Classroom Level: Alex
- Alex is a high school physics teacher interested in improving students' ability to apply learned concepts to solve problems.
At the Department Level: Beth
- Beth is a faculty member and department chair at a community college interested in improving students' writing skills.
At the Institutional Level: Cristina
- Cristina is an administrator at a four-year university interested in improving degree attainment within the science, technology, engineering, and mathematics (STEM) fields.
For a downloadable version of the text for each/all of the case studies, click the appropriate link below.
To continue familiarizing yourself with the website, click on Quick Links in the right-hand navigation.
- Activity 1.1 - Environmental Scans
- Activity 1.2 - Formulating a Problem Statement and Questions
- Activity 1.3 - Identifying Good Questions
- Activity 2.1 - Identifying Data Gatekeepers
- Activity 2.2 - Locating Existing Data
- Activity 2.3 - Searching Library Databases
- Activity 2.4 - Finding Collaborators
- Activity 3.1 - Identifying New Sources of Data
- Activity 3.2 - Data Sources at the Department Level
- Activity 3.3 - Creating a Data Collection Plan
- Video 4.1 - Using Data in the Classroom: Part 3
- Video 4.2 - Data Analysis in Action
- Video 4.3 - Qualitative Data 101
- Video 4.4 - Item Analysis