Comments (4)
I agree with @BillMills. I mentioned somewhere that we should explicitly mention that it's ok not to finish and that we should not set expectations hard to fulfill.
I would like to have a guide to tell instructors what to drop (be challenges, topics, or examples) in case things go south.
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I would like to have a guide to tell instructors what to drop (be
challenges, topics, or examples) in case things go south.
So would I - the trick is getting people to give us the information we
need to construct it...
from python-novice-gapminder.
So would I - the trick is getting people to give us the information we
need to construct it...
Yes, this is really hard to get. I was thinking more in what you would teach if the lesson was not 6 hours, but 3 or 4. Maybe by providing these two points, instructors could adapt better during workshops and we would normalize situations in which not all the material is covered.
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Closed by 35b7550
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Related Issues (20)
- Assignment & Concatenation - potential clarifications HOT 1
- Lesson shows pre-alpha "Under Design" banner
- Adding Google Colab as a possible working enviroment for learners? HOT 9
- Variable names in code and text do not match HOT 1
- Broken link HOT 5
- Use pop() instead of del in the Lists lesson? HOT 7
- Anaconda licensing issues HOT 4
- Pandas Link HOT 1
- Built-in Functions and Help Lesson: add get the methods attached to an object using the dir() HOT 1
- Suggestion to replace an existing exercise HOT 3
- improve data frame names in the lesson HOT 3
- Transition To Workbench in May HOT 17
- Links not generated on Summary and Setup page HOT 1
- Examples / exercises encourage anti-patterns in 12-for-loops.md HOT 2
- savefig truncates figure elements HOT 2
- Possible incorrect link to Anaconda install instructions HOT 4
- Broken link in CONTRIBUTING.md HOT 4
- Error with "{:auto_ids} " HOT 4
- minor formatting issue in many ways of access challenge
- add learner profiles
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