Course Outline:

Module 1: Introduction to Data-Driven Decision Making

• Understanding data-driven decision-making in education
• The importance of assessment data in improving student outcomes
• Types of assessment data: formative, summative, and diagnostic
• Practical Exercise: Reflecting on current data use in assessments

Module 2: Collecting and Organizing Assessment Data

• Techniques for collecting reliable and valid assessment data
• Organizing data for effective analysis and interpretation
• Utilizing technology and tools for data management
• Case Study: Examining a data collection strategy in an educational setting

Module 3: Analyzing Assessment Data

• Methods for analyzing assessment data to identify trends and patterns
• Using statistical tools to interpret data effectively
• Identifying strengths and areas for improvement through data analysis
• Practical Exercise: Analyzing real assessment data to draw conclusions

Module 4: Making Informed Decisions Based on Data

• Developing actionable strategies from data analysis
• Aligning data-driven decisions with instructional practices
• Incorporating feedback loops for continuous improvement
• Case Study: Implementing data-driven decision-making in a school improvement plan

Module 5: Communicating Data Findings to Stakeholders

• Strategies for effectively communicating assessment data to educators and administrators
• Engaging stakeholders in the data analysis process
• Building a culture of data use within educational institutions
• Real-life Project: Creating a data presentation for a stakeholder meeting