This session will provide participants with an understanding of how The College of Education at The University of Texas at El Paso is advancing a focused strategy to address technological shifts in education. An overview of the Educator Preparation Program, specifically newly designed course work (e.g. Computational Thinking for Educators) and initiatives supporting a commitment to preparing educators for a shift into AI transforming teaching and learning will be provided in during this session. Session participants will walk away with practical strategies for supporting teachers in a rapidly evolving educational landscape as evidenced by the El Paso AI Hub- an innovative strategic initiative designed to accelerate regional AI literacy and competency by providing a centralized, dynamic online platform for educators and learners.
As computational thinking, computer science, cybersecurity, and artificial intelligence become essential literacy skills, school and district leaders must move beyond siloed courses and computer labs. This session explores strategic leadership approaches for integrating these skills across non-traditional content areas and student-centered programs. Participants will examine inclusive systems that expand access, support educators across disciplines, and leverage interdisciplinary initiatives to align with district goals, workforce readiness, and future-focused learning.
This hands-on workshop introduces educators to physical computing using the micro:bit and simple breadboarding as an accessible entry point into computer science and computational thinking. Participants will progress from block-based programming to controlling real-world outputs, while experiencing instructional strategies that lower barriers for both teachers and students.
The session emphasizes scaffolded learning, debugging, collaboration, and equitable access to CS instruction. All activities are classroom-tested, low-cost, and designed to be completed within a single class period.
Participants will: Understand the core components of physical computing (inputs, outputs, and control) Use block-based code to control LEDs using a breadboard and micro:bit Apply debugging strategies common to beginner physical computing classrooms Identify instructional strategies that support diverse learners in CS
Provided Resources: Printable beginner breadboarding guide Step-by-step micro:bit lesson plan Debugging checklist for students Materials list with low-cost alternatives
Outcomes: Increased confidence teaching physical computing Clear strategies for managing hands-on CS lessons Deeper understanding of how computational thinking connects to real-world systems
Participants will leave prepared to immediately implement a physical computing lesson and better support students as computer science learners.
