• NASA
  • IPAC

Summer Visit - 2013 - C-CWEL

The summer visit to Caltech is 3-4 days long and is the only time during the year of work when all the participants on the team come together in person to work intensively on the data. Generally, each educator may bring up to two students to the summer visit that are paid for by NITARP, and they may raise funds to bring two more. The teams work at Caltech; the summer visit typically includes a half-day tour of JPL, which is a favorite site for group photos. Reload to see a different set of quotes.

The "C-CWEL" team came to visit in August 2013. The core team educators attended, plus 11 students.

Quotes

  • [student:] The best thing about the trip was meeting people from across the country and from different walks of life. I also thoroughly enjoyed being able to apply my knowledge of astronomy, mathematics, and computers.
  • [This trip] did have a big impact on what my students thought – it was very eye-opening for them to see that astronomers were not stuck in front of a telescope all night, have high computer skills but can also not understand all of what a particular program does or how, and are ‘normal’. Great for them.
  • [student:] I thought that scientific research would be complex and complicated, but this exceeds that to a whole new level.
  • I think the best part about the trip and NITARP as a whole is the chance to do authentic research and learn the methods and techniques used to tease as much information out of the data as possible. It still amazes me (and this is what I try to instill in the students in my astronomy classes) that we can learn so much from a tiny point of light if we are just cleaver enough to know how to look at it.
  • I was pleasantly surprised at the mature behavior and intellectual level of the student participants. They have taken the work seriously, enjoyed the out of work time activities and gained an incredible new network of resources for their future career endeavors. The students make excellent partners for learning and are highly able to acquire new skills. When partnered with more careful and experienced researchers, they can move through large data sets with ease, and accuracy. They are more easily frustrated by errors and do not have training in trouble shooting and meta-cognition that can let them solve more problems alone.

Related Teams

Summer Visit - 2013 - C-CWEL