Research

Are you a high school or university level physics educator? Please complete the "Contact Us" form below if you would like to get access to an alpha version of our MAGNAT instrument to provide feedback, are willing to collect student data, or if you would otherwise be interested in participating in our research efforts.

 

Are you a high school or university level physics student? Please see our invitation to students to participate in this research project. 

This project proposes to advance personal mobile technology to create a sensor-based visualization tool that
addresses the challenges associated with introductory physics learners’ understandings about
magnetic fields.

 

The intellectual merit of this project will be to answer three core questions about technology and education research:

  • (RQ1) “What new technologies and associated developer resources for PMDs, such as ARCore for Android, can be created to enable 3D, real-time, sensor-based visualizations of physical fields?,”

  • (RQ2) “How do high school and college introductory physics learners use the technological tool to make sense of fields?,” and

  • (RQ3) “How do learners’ concepts of fields change as a result of using the new technological tool?”

To answer these questions, we are employing two major research activities:

  • Interactive interview and observation protocols in which users interact with Magna AR and explain their thinking about magnetic fields.

  • Development of a conceptual inventory to measure changes in understanding about static magnetic fields, the MAGnetic kNowledge Assessment Test (MAGNAT). This assessment includes multiple choice, sketched, and short free response answers, and aims to uncover student thinking about the strength and direction of magnetic fields that surround Earth, permanent magnets, and current-carrying wires.

Are you interested in contributing to our research? Let us know!

© 2020 by the American Modeling Teachers Association, Embodied Games, and Vieyra Software 

This work is funded by NSF Grant #1822728. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.