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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:] Being able to work with professional astronomers on real data is a unique and inspiring opportunity that I feel privileged to participate in. Another important aspect to me was being able to meet other students from different states who had similar interests.
  • Real astronomy is very exciting! I was not expecting to have to solve problems in excel the way we did. We were asked to answer simple questions or develop simple graphs at times but in order to get correct results (as far as we can tell) our team had to parse our skills and play with logic. I remember creating my first SED: I became so excited I could not sit down anymore. Another teacher was so thrilled they raised their hands and yelled in excitement. It was the first time we had results; it was a thrill.
  • This week at Caltech was the greatest opportunity of my career. It was an experience that was humbling and at the same time gave me confidence. I cannot thank the NITARP program enough for the professional development, the professional relationships I've grown, and the inspiration. Thank you NITARP! Please keep this educational program going.
  • 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.
  • [student:] By understanding the information that SEDs were providing, I was able to draw conclusions about stars and say whether or not they could possibly be a YSO candidate and that's a pretty cool skill!

Related Teams

Summer Visit - 2013 - C-CWEL