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The purpose of this presentation is to share an opportunity for authentic teacher development and student participation in live scientific data analysis with mentor scientists facilitated through NASA. As a result of this presentation, participants will engage with students as they explain the strategies and skills developed while working with NASA scientists. Participants will gather authentic experience anecdotes from a high school educator growing her data analysis skills and learning alongside her students.
The presentation will include visual demonstration of the data sources, modeled analysis and interaction with simulated data sets. Student team members will be available to present on the floor and discuss their experiences and learnings with attendees.
Connections and links to the application process for the next NITARP cohort will be made available to attendees.
Success will be measured by interaction with the weblink and QR code for the team’s presentation.
Summary of the fIRes project including explanation of the relevance of research into M class dwarf stars, and QR code connection to NITARP application resources will be shared in the visual poster presentation.
Procedural video-based explanation of data analysis processes, both pre-recorded and live from student-operated devices will provide attendees with an opportunity to interact with the data and the student scientists who conducted the analysis.
Ms. Bonham, the project’s lead teacher will be on hand to discuss the instructional strategies, practical logistics and process of pitching, facilitating and promoting this experience.
QR code and weblinks to NITARP and a student-created website about the experience as well as the team’s scientific poster will be shared for smartphone snap and on handout cards.
https://nitarp.ipac.caltech.edu/
Gorjian, V. et al 2008, ApJ, 679, 1040, "The Mid-Infrared Properties of X-Ray Sources"
Melissa K. Kjelvik and Elizabeth H. Schultheis, Kjelvik, M. K., Getting messy with authentic data: Exploring the potential of using data from scientific research to support Student Data Literacy. CBE-Life Sciences Education. Retrieved September 29, 2022, from https://www.lifescied.org/doi/full/10.1187/cbe.18-02-0023