MODULE 12

Data-Driven Instruction

Analyze and use educational data to inform instructional decisions and improve student outcomes. Learn to collect, interpret, and act on data effectively.

Learning Objectives

  • Understand principles of data-driven decision making in education
  • Collect and analyze student performance data using technology
  • Create data visualizations and reports for stakeholders
  • Use data insights to adjust instruction and interventions

Lectures

Introduction to Data-Driven Instruction

Duration: 45 minutes

Data Collection and Analysis Tools

Duration: 50 minutes

Turning Data into Action

Duration: 40 minutes

Hands-on Labs

Lab 1: Analyze Student Performance Data

Use data analysis tools to examine student performance trends. Identify patterns, strengths, and areas needing intervention.

Estimated time: 3 hoursHands-on

Lab 2: Create Data Dashboards

Design interactive data dashboards to visualize student progress and communicate insights to stakeholders.

Estimated time: 2.5 hoursHands-on

Assessments

Module 12 Quiz

25 questions • 35 minutes

Data Analysis Report

1200-1500 words • Due in 2 weeks

Additional Resources