ED 5830 - STEM Ed. Student Learning: Data Driven Theory, Assessment and Analysis

Credit Hours: 3

This course is designed to investigate continually evolving approaches for developing innovative and inclusive student-centered learning environments that support hands-on, minds-on STEM learning. This includes an exploration of learning networks and communities of practice that contribute to STEM-based learning. Candidates will also explore methods for developing innovative and accessible measures of learning for integrative STEM education, to include an examination of continually evolving digital technologies that can be utilized in transformative ways to assess students’ authentic STEM learning experiences.