Community Data Science Workshops (Spring 2014)/Reflections: Difference between revisions
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== General Feedback == |
== General Feedback == |
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One important goal was help get learners as close to independence as possible. We felt that most learners did not make it all the way. In a sense, our our final session seemed to let out a little bit on a low point in the class: Many users had learned enough that they were able to start venturing out on their own but not enough that they were not struggling enormously in the process. |
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One suggestion is to add an additional |
One suggestion to try to address this is to add an additional half-day session with no lecture or planned projects. Learners could come and mentors will be with them to work on ''their'' projects. Of course, we want everybody to be able to come so we should also create a set of "random" projects for folks that don't have projects yet. |
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⚫ | * The general structure of the entire curriculum was not as clear as it might have been which led to some confusion. This was, at least in part, because the details of what we would teach in the later sessions were not decided when we began. In the future, we should present the entire session plan clearly up front. |
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* We did not have enough mentors with experience using Python in Windows. We had many skilled GNU/Linux users and ''zero'' students running GNU/Linux. Most of the mentors used Mac OSX and most of the learners ran Windows. |
* We did not have enough mentors with experience using Python in Windows. We had many skilled GNU/Linux users and ''zero'' students running GNU/Linux. Most of the mentors used Mac OSX and most of the learners ran Windows. |
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⚫ | * Although we did not use it as a recruitment or selection criteria, a majority of the participants in the session were women. Although we had a mix of men and women mentors, the fact that most of our mentors were male and most of our learners were female was something we would have liked to avoid. If we expect to have a similar ratio in the future, we should try to recruit female mentors and, in particular, to attract women to lead the afternoon sessions (all of the afternoon session lead mentors were male). |
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⚫ | * Although we did not use it as a recruitment or selection criteria, a majority of the participants in the session were women. Although we had a mix, the fact that most of our mentors were male and most of |
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* Debugging code |
* Debugging code |
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* Finding and reading documentation |
* Finding and reading documentation |
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* Troubleshooting and looking at StackExchange for answers to programming questions |
* Troubleshooting and looking at StackExchange for answers to programming questions |
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=== Budget === |
=== Budget === |
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For lunch we spent between $400 (pizza), $360 (less pizza), and $600 |
For lunch we spent between $400 (pizza), $360 (a few less pizza), and $600 (for fancy Indian food). This was for 50 students and ~15 mentors but we assumed about 60 people would actually be there at each session. We also spent ~$50 in the mornings for coffee. |
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(for fancy Indian at the last one). This was for 50 students and 18 |
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mentors but we assumed about 60 people would actually be there. We |
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also spent $50 in the mornings for coffee. |
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Most mentors could not make the |
Most mentors could not make the follow-up sessions so we spent about $100 per session on mentor dinners. If more people showed up, it would have been closer to $200-250 per mentor dinner. |
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per session on mentor dinners. If more people showed up, it would have |
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been closer to $200-250 per mentor dinner. |
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The rooms were free. |
The rooms were free. |
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If you had a total budget would be in the order of $2000-2500, I think |
If you had a total budget would be in the order of $2000-2500, I think you could easily do a similar 3.5 day-long sessions. If we had a little more, we could do better than pizza for lunch. |
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you could easily do a similar 3.5 day-long sessions. |
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