Science teacher preparation programs have the opportunity to enhance three-dimensional teaching and learning through forms of Artificial Intelligence (AI) at the university and middle/secondary science-level instruction. This session examines seven types of AI tools applicable to science education. Faculty, in-service teachers, and preservice teachers will experience a deeper level conceptual shift in understanding AI through the range and limitations of the following tools: personalized learning, adaptive learning, intelligent tutoring systems, automated grading and assessment, generative AI, language learning, assistive technology, data, and learning analytics, and virtual reality and augmented reality. Session activities support the following outcomes:
Develop proficiency in aligning a specific AI tool with a science and engineering practice, and a crosscutting concept to support mastery of a disciplinary core idea.
Practice integration of AI to promote equity in STEM for ALL.
TAKEAWAYS:
Participants will receive the AI Integration Model (AI-IM) tool for guidance to monitor the progress of NGSS three-dimensional or standards-based instruction and student learning. Preservice teachers will increase their ability to assess the effects of AI on students' shifts in scientific reasoning.
SPEAKERS:
Michael Bindis, Kimberly Staples