Curriculum

    1. Welcome

    2. Introduction and Learning Objectives

    3. How to Use This Course

    4. Course Navigation

    1. Defining Data Literacy

    2. The Role of Data Literacy in Education

    3. Key Components of Data Literacy

    1. Data Identification

    2. Data Collection Methods and Data Sources

    3. Data Quality

    4. Data Quality Scenarios

    1. Understanding Data and Identifying Trends

    2. Scenario: Math Score Trends

    1. Actionable Insights

    2. Data Conversations

    3. Setting and Evaluating Goals

    4. Scenario: Dual-Enrollment Data Dilemma

    1. Data Privacy and Security

    2. Ethical Use of Data and Transparency

    3. Scenario: Student Data Privacy

About this course

  • Free
  • Approximately 60 minutes

Learn how to use data effectively and responsibly

Do you know how you would handle situations like these?

  • You are a school administrator reviewing preliminary test scores for sixth-grade reading. Three classrooms' results are missing due to a reporting delay, but the superintendent is asking for an urgent report.

    How do you address the missing data?

  • One report says your school’s graduation rate is 92 percent, and another says it’s 84 percent. The reports come from different teams and use slightly different calculations and definitions.

    How do you determine which number to use?

  • You are preparing a presentation about math test scores that highlights results from student subgroups, some of which are have fewer than 5 students.

    How do you ensure the privacy of students in those small subgroups?

Start your data literacy journey today!

Enroll now

This course was developed by Quality Information Partners (QIP). For more information, visit us at www.qi-partners.com.