Funded by a $3M Department of Defense (DoD) National Defense Education Program (NDEP) award, we are developing and deploying on a national scale a follow-up curriculum to “Our Place In Space!”, or OPIS!, in which approx. 3,500 survey-level astronomy students are using our global network of “Skynet” robotic telescopes each year.
The goal of this new curriculum, called “Astrophotography of the Multi-Wavelength Universe!”, or MWU!, is to boost the number of these students who choose STEM majors. During Y1, our participating educators have developed MWU!’s (now renumbered) 2nd and 4th modules, and are in the process of developing its 3rd and 7th modules (out of 7).
Solid progress has also been made on the software front, (1) where we have developed new graphing/analysis/modeling interfaces in support of Modules 2 and 4, and in response to feedback from the participating educators; and (2) where we are in the process of developing and adding astrophotography capabilities to Afterglow Access (AgA), our student-level, web-based, image processing and analysis application, in support of Modules 1 – 3 and 5 – 7.
On the hardware front, development of our first four signal-processing units proceeds on schedule; these are key to Skynet’s integration of a global network of radio telescopes, capable of exploring the invisible universe. Preparations have also been made on the evaluation and accessibility fronts, for when the first MWU! modules are deployed in Spring 2023.
Next-Level, Robotic Telescope-Based Observing Experiences to Boost STEM Enrollments and Majors on a National Scale: Year 1 Report
Daniel E. Reichart, Joshua Haislip, Vladimir Kouprianov, Ruide Fu, Logan Selph, Shengjie Xu, John Torian, Jonathan Keohane, Daryl Janzen, David Moffett, Stanley Converse
Comments: 10 pages, 9 figures, ASP2022 Conference Proceedings, December 2022
Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Physics Education (physics.ed-ph)
Cite as: arXiv:2304.02545 [astro-ph.IM] (or arXiv:2304.02545v1 [astro-ph.IM] for this version)
From: Daniel Reichart
[v1] Wed, 5 Apr 2023 16:06:45 UTC (1,334 KB)