Introduction to Data Analysis for Tiered Students

Issued by iLearn Collaborative

The power of utilizing data to instruct and guide students through tiered instruction equips educators with the ability to individualize instruction to increase student engagement and achievement.

Type Learning
Level Foundational
Time Hours
Cost Paid

Skills

Critical Thinking
Progress Monitoring
Student Engagement
Student Learning Outcomes

Earning Criteria

To earn this micro-credential, an educator must understand the three tiers of support in the MTSS model, think critically about who owns decisions about which interventions to implement, apply progress monitoring tools to measure outcomes in student learning, create and modify assessments to retrieve data that more clearly determine student learning outcomes, engage in processes to inspire student ownership of data and growth, and apply strategies for providing actionable feedback.