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The program was developed to help teachers gain direct experience with emerging technologies that are reshaping healthcare and STEM careers. As artificial intelligence, wearable sensing, medical imaging, and real-time health monitoring become more important across research and industry, many teachers have limited access to the laboratories, tools, and mentorship needed to bring these ideas into the classroom. This program bridges that gap by combining faculty-mentored summer research with structured curriculum support and long-term educator engagement.

About the Program

Participants spend the summer in active research labs at the University of North Texas, where they learn how biomedical data are collected, processed, and interpreted. Research experiences may include biosignal acquisition, AI-driven analysis of physiological data, embedded systems development, wearable sensor prototyping, bioinformatics, medical image analysis, XR-enabled health applications, and related digital health technologies. Alongside the lab experience, teachers participate in workshops focused on AI for health, biosensors, hardware design, on-device processing, responsible conduct of research, and curriculum translation for classroom implementation.

Program Goals

  • Train teachers in artificial intelligence methods relevant to digital health and biomedical data analysis.
  • Build educator expertise in hardware design, biosensor integration, and on-device or real-time processing.
  • Engage participants in collaborative research studies and project-based learning experiences.
  • Support the creation of classroom-ready lessons, case studies, and instructional materials aligned with NGSS and TEKS.
  • Sustain educator engagement through ongoing mentorship, professional learning communities, and shareable resources.

What Participants Will Do

  • Work with a faculty mentor and research group in an active lab environment.
  • Learn to collect, preprocess, and analyze biomedical and sensor data.
  • Develop hands-on projects involving AI, embedded systems, and digital health technologies.
  • Translate the summer experience into classroom-ready curriculum materials and lesson plans.
  • Share outcomes through instructional resources, case studies, presentations, and program dissemination activities.