Professional Learning Offerings

The AI in STEM Education  course explores how AI can shape the future of K–12 STEM education by providing educators with the skills and tools to effectively incorporate AI into their teaching. Participants will discover how AI can enhance learning experiences, simplify administrative tasks, and develop students’ critical thinking and problem-solving abilities. The course will also discuss the strengths and current limitations of existing AI technologies, providing practical advice on their appropriate use and the safeguards educators need to consider. Through interactive workshops, case studies, and discussions on ethical implications, the course focuses on making AI accessible and actionable for educators of all experience levels. No prior experience with AI is required. The course is designed as a virtual, interactive, and collaborative experience.

The Foundations of Integrated STEM Education course engages participants in unpacking the knowledge and skills required of educators interested in 'STEMifying' their teaching (whether they teach a STEM course or would like to add a STEM component to their subject area). The course introduces topics related to students’ STEM identity, school and community, curriculum, and pedagogy, so participants could identify high-quality STEM experiences. Specifically, participants will analyze frameworks for high-quality STEM education, STEM standards and practices, the engineering design process, phenomenon-based teaching, equity and diversity in STEM, and student-centered STEM pedagogy. 

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The STEM & PBL Curriculum course unpacks the elements of high-quality instructional materials (HQIMs), defined as curricular materials exhibiting a coherent sequence of lessons that target learning of grade-appropriate and standards-aligned skills and knowledge through research-based and inclusive instructional strategies. Participants review, analyze, and identify high quality STEM curricula, and discuss differences between STEM and project-based learning (PBL) curricular materials. They also practice creating standard-aligned and student-centered learning outcomes with and without the use of AI tools, following the guidelines of the backwards design.