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Metabolic Marvel: Understanding Cellular Respiration through Engineering

  • Year 2024
  • NSF Noyce Award # 2153754
  • First Name Feliziano
  • Last Name San Luis
  • Institution University of Houston
  • Role/Position Current Noyce Scholar
  • Proposal Type Workshop
  • Workshop Category NA: I am a Scholar/Fellow
  • Workshop Disciplines Audience Life Sciences
  • Target Audience Noyce Master Teachers, Noyce Teaching Fellows, Undergraduate and/or Graduate Noyce Scholars
  • Topics Culturally Relevant Pedagogy

Goals

In this session, participants will construct a CO2 sensor using an Arduino, to enhance their proficiency in incorporating engineering practices into STEM content and hands-on learning experiences within their teaching practices. Additionally, teachers will explore strategies for integrating technology tools like Arduino into their curriculum to promote student engagement, critical thinking, and problem-solving skills.

Evidence

The lesson was designed with two goals grounded in research findings. The first goal is to increase student engagement, confidence in science, and empower underrepresented groups via the integration of engineering design with core content, as discussed by Ken Turner in 2017. The second goal is to use equipment that can accommodate classroom settings due to the Arduino’s open source, flexibility, and price as noted by Lorraine Herger in 2015 IEEE Integrated STEM Education Conference.

Proposal

This hands-on workshop is designed for in-service teachers with the aim of develop engineering practices into the classroom. Participants will engage in building a CO2 sensor using an Arduino microcontroller and utilizing it to record the rates of cellular respiration. This experiential learning opportunity will provide attendees with practical skills and knowledge applicable to their classrooms, fostering a deeper understanding of biology concepts, and technology integration. The lesson was designed by a preservice teacher as part of a Research Experience for Preservice Teachers program at the University of Houston.

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This material is based upon work supported by the National Science Foundation (NSF) under Grant Numbers DUE-2041597 and DUE-1548986. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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