This session introduces a framework for enhancing TEKS in STEM by tracking the development of data analysis tools, highlighting disciplined reasoning as technology—including AI—advances.

The session focuses on using tidy, real-world datasets for teaching. Using a live tidy dataset, participants will explore STEM lessons that help students organize information and develop smart insights by noticing trends, interpreting patterns, evaluating evidence, and making well-supported conclusions. The session introduces AI-supported analysis as a tool for students to deepen their ability to explore and question data, while emphasizing verification, interpretation, and clear communication as key parts of learning.

Attendees will gain specific TEKS-aligned strategies for incorporating data science into K–12 STEM lessons. Results include the ability to create lessons using real-world datasets, utilize AI-supported analysis to improve student inquiry, and promote quantitative reasoning, scientific literacy, and problem-solving in Texas classrooms.

Pre K-12 Educators, Librarians, Media Specialists, Technology Specialists, Curriculum Specialists, Deans, Counselors, Principals, Assistant Principals, District Technology Directors, District Curriculum Directors, District Bilingual/ELL Directors, District GT Directors, District SPED Directors, Computer Technicians, Higher Ed are welcome! *Megabyte districts attend for FREE*

MEGAbyte Service
Technology

TTESS 1.4 Activities
TTESS 2.2 Content Knowledge and Expertise
TTESS 2.3 Communication
TTESS 2.4 Differentiation
TTESS 4.3 Professional Development

...There are no COOPs...