Introduces equitable assessment models and strategies for data-informed continuous improvement in CTE instruction. Faculty will explore AI-assisted formative assessment tools, data dashboards, and sample rubrics that support transparent and equitable grading. Participants will also learn about CTE compliance and reporting requirements (Perkins V, Strong Workforce, accreditation) and how to use disaggregated outcome data to drive instructional improvements. The session includes templates for course-level assessment plans and practical examples linking learning outcomes to program review cycles.

Outcomes:

Identify equitable assessment and grading practices aligned with CTE outcomes and compliance requirements.

Use AI-enabled tools and dashboards to collect, analyze, and visualize student performance data.

Apply data-informed strategies to modify instruction and improve equity outcomes.

Design assessment plans that incorporate Credit for Prior Learning (CPL) to recognize industry experience.

Registration Available Here

Note: Users cannot register for this webinar through the Vision Resource Center. This webinar requires access/registration outside of the Vision Resource Center. If you would like to track the time you spent attending any trainings from external providers please record your time using External Training and the time will be reflected on your Learning Transcript.