** This activity is 2 points total with a *required* reflection.

NIST Happy Hour! (with Lisa McDonnell). Jumping into the data pool: pooling student-generated results to create more interesting data sets for analysis in a laboratory course setting.

Description

Iteration can be difficult to achieve in a lab course due to limitations on time and resources. A lack of iteration and replication reduces student's exposure to variation and limits both the analysis they can do and the research questions they can address. Over the years, we have had students pool their results from a wide variety of experiments conducted during in-person labs (pre-pandemic) and from at-home experiments (pandemic). Pooling of results increases troubleshooting, discussions of replicates and iteration, allows students to perform more sophisticated analysis, and answer more research questions. In this interactive workshop we will look at examples of pooled data, and work together to generate ideas of how we can create additional pooled data sets in our own courses, as well as discuss the technical details of how to organize, use, and share pooled data sets.

RSVP here with the CLSE and by using this link above. Following the workshop, email Erica Szeyller.1 to confirm your attendance for the full event time. If you were not able to attend the full event, email Erica Szeyller.1 to discuss the possibility of 5001 course points.

This is a *required* reflection in order to get Bio5001 credit for workshop attendance. You can upload your reflection to the Workshop Reflection assignment on Carmen. Within your reflection, please include the event title, a short summary, and the reflection prompts.

 

 

Feel free to address these prompts in a way that is most applicable and useful for you. Some format options include: concept map, essay, or a new or revised assignment with notes justifying your changes.