HarvardX: Introduction to Data Wise: A Collaborative Process to Improve Learning & Teaching course Syllabus

Overview (80-120 words) describing structure and time commitment.

Module 1: Foundations of Data Wise

Estimated time: 8 hours

• Understand the Data Wise Improvement Cycle
• Explore principles of collaborative inquiry
• Study the role of evidence in instructional decisions
• Build a culture of continuous improvement

Module 2: Examining Student Data

Estimated time: 8 hours

• Analyze assessment and performance data
• Identify patterns and achievement gaps
• Use data protocols for team discussions
• Develop data literacy skills

Module 3: Instructional Improvement Planning

Estimated time: 8 hours

• Identify root causes of learning challenges
• Align instructional strategies with evidence
• Design targeted improvement plans
• Implement measurable action steps

Module 4: Sustaining Schoolwide Improvement

Estimated time: 6 hours

• Monitor instructional changes
• Measure impact on student outcomes
• Build professional learning communities
• Create long-term improvement strategies

Module 5: Capstone Application

Estimated time: 10 hours

• Apply the Data Wise cycle to a real or simulated school context
• Conduct a collaborative data review
• Develop an actionable improvement plan

Module 6: Final Project

Estimated time: 12 hours

• Submit a comprehensive improvement proposal
• Present findings from data analysis
• Reflect on collaborative process and leadership growth

Prerequisites

• Basic understanding of K–12 education systems
• Familiarity with classroom instruction or school leadership
• Access to student performance data (preferred but not required)

What You'll Be Able to Do After

• Lead data collaborative teams in schools
• Analyze student data to identify learning gaps
• Design evidence-based instructional improvement plans
• Foster a culture of data use and continuous improvement
• Support professional learning communities focused on impact