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- Look at the new Bot in depth
- Analyze student and TA feedback
- Revisit rubric
- Finalize assessment methodology - presentations?
- Look into GitHub classroom options
- Add more Supple/Marbel documentation
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- Take extras out of the bot on branch cap. basic
- Push new bot to school solution
- Look into Marbel Plugin and Installation tricks. Documentation
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who to harass for this? |
- Assignment restructure by function
- Check assignment with new code.
✏ To-Decides
- Assign Teams? - Idea mention in MAS offer spread sheet those not in will be assigned
- Decide on Assignment Content (What is given)
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Give base bot instructions, recommend recipe, 1 filter example (country), 1 tag or ingredient type etc. have them decide and do rest. We have overview could give them an outline of how to do it but no instructions. Filters to be approved by TAs in a session |
- Finalize Bot Goals Overview
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4 Weeks. Turn In: Report at End, 2 Labs per week one lecture Each week: Lecture, Lab, Half Lab/ Half CheckIn Presentation except first week no check in pres, last week no lecture and final presentation Idea 12 teams per room. 3/4 TAs Labs: Help from present TAs in the room, Goal: 1 TA per 3/4 groups in the room. Check-In Presentation: 10 minutes total 7 minute student presentation 2 minutes questions from TA, 1 min TA feedback (2 hours min per 12 groups) Graded on: Time of Presentation, Presentation Skills, Pres Content, Work Distribution, Answers to Questions Pres content overview: Given ahead of time based on week content but essentially
Questions from TAs most given ahead of time based on week content some group specific Questions could be about:
If someone is not present: submit individual! written report on topics of presentation like logbook entry can makeup 1 presentation with logbook otherwise 0 for that person for that week Maybe extra bonus points based on oh they are doing awesome. All 3/4 TAs grade each group and ask questions, grading averaged over TAs Longer final presentation? End Report: same as last year but experiment on comparing their filters to one another by own metric for an experiment via use - similar lab experiment session ex. user satisfaction/difficulty metric, time to recipe selection, accuracy Final Grade: 25 percent final bot product, 25 percent report, 25 percent final presentation, 25 percent check in presentations |
- Integrate Chatgpt?
- add back instructions?
- Python version of SIC or no?
- How to split students
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