The introductory workshops in DATA Lab are intended to set students up for success during the semester and for PHY 252 DATA Lab. As such, this rubric is intended to value the work they may do, the way they interact in their groups, and how engaged they are in group or class discussions. This may take the form of:

• Engaging with lab materials
• Actively participating in group discussions
• Presenting ideas to their group
• Critiquing the ideas other group members bring forth
• Communicating confusion or lack of understanding they encounter with their group/tutors

This is a non-­exhaustive list. As long as they are actively participating in the work being asked of them and are productively communicating with their group and the class, the work should be valued. For a more detailed list of what you will be graded on, see next page.

The notebooks will be collected at the end of each workshop day for tutors to provide feedback on the student's documentation habits as well as to assess the in­ class assignment they are asked to turn in each day.

4.0 (96-100%) - Perfect, I can't think of anything they could have done better
3.75 (91-95%) - They were vital to their group's success but they could improve on some things
3.5 (87-90%) - They worked well with their group but there are definitely places where they can improve
3.25 (83-86%) - Sort of average, not outstanding but solid effort
3.0 (78-82%) - Weak participation, still worked with group but needs a lot of improvement
2.5 (68-74%) - Did not contribute in anyway to group's progress
2.0 (65-67%) - Negatively impacted work of group and progress on experiment
0.0 (0%) - Did not show up to class

• Communication: Contribute to and remain involved in group discussions.
• Collaboration: Come prepared and work well with your group.
• Discussion: Work together to understand the result.
  • Communication
    • Engaged in group discussions
    • Asking/answering questions
    • Discussing plan with group
    • Explaining equipment to each other
  • Collaboration
    • Come prepared
    • Actively participate in group work
    • Make sure everyone is on the same page
      • Don't move on too quickly
    • Try to come to consensus
    • Ask for and give input
    • Attempt to get everyone involved
    • Don't dominate the discussion
  • Discussion
    • Work together to understand results
    • Discuss implications of different experimental results or observations
    • Contribute helpful ideas in data analysis