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Digging for Data on Mars using Coding, Augmented and Virtual Reality

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Colorado Convention Center, Innovation Arcade: Emergent Tech Classroom B

Innovation arcade: Model lesson experience
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Presenters

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Heather Brantley is an experienced educator and founder of HeatherTechEdu, an educational consultant company based in Texas. With a background in instructional design and technology integration, Heather is passionate about helping teachers and students leverage the power of technology to enhance teaching and learning. Through HeatherTechEdu, she provides presentations on AI/AR/VR in the classroom, instructional design services, and educational technology consulting to schools and districts around the country. Heather's commitment to empowering educators and improving students outcomes has made her a respected leader in the field of educational technology. She teaches CTE Web Communications and Technology at PTJH.

Session description

Welcome to the year 2040 on Mars! Despite our futuristic setting, we still face day-to-day challenges just like back on Earth. Today, we have three key issues to tackle on the red planet. First off, we need to figure out our energy consumption on Mars. Then, we must address the melting ice fields when the sun's heat intensifies. Lastly, we have to extinguish a fire at our fuel storage unit. During this interactive lesson, participants will have the opportunity to collaborate and engage in critical thinking as we work together to solve these problems. Attendees will experience how Kai's Clan Robotics brings the lesson to life using augmented and virtual reality. Let's embark on this learning journey together and explore innovative solutions for a sustainable life on Mars!

Session specifications

Topic:
AR/VR/XR
Attendee devices:
Devices not needed
Subject area:
Career and technical education, STEM/STEAM
ISTE Standards:
For Students:
Computational Thinker
  • Students collect data or identify relevant data sets, use digital tools to analyze them, and represent data in various ways to facilitate problem-solving and decision-making.
  • Students break problems into component parts, extract key information, and develop descriptive models to understand complex systems or facilitate problem-solving.
  • Students understand how automation works and use algorithmic thinking to develop a sequence of steps to create and test automated solutions.
Disclosure:
The submitter of this session has been supported by a company whose product is being included in the session
Related exhibitors:
Kai's Education