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Tutorial ​

Active Recall is the most effective way to learn new things.

Multiple choice tests, where Planters choose from a selection of images or a selection of text answers.

https://brilliant.org/

  • Active Recall
  • Matching
  • Multiple Choice
  • Sequencing
  • Error Dectection
  • Crosswords

EcoTest ​

  • Tree Genus Identification (Species Identification is more nuanced than required)
py
treeList = [
    'Abies', 
    'Alnus', 
    'Pinus', 
    'Populus', 
    'Pseudotsuga', 
    'Quercus', 
    'Salix', 
    'Thuja', 
    'Tsuga'
    ]

MoveTest ​

ViaTest ​

NeuroTest ​

πŸ› 

DevNotes ​

  • Documentation to play the (game == simulation == PlanterExperience)

  • Documentation for the game is also documentation for the job

  • Knowledge Gaps are the low hanging fruit of PutPlant education

  • Every minute counts

  • Simulate the job with Test coded in Python. Use Voronoi and other algorithms to check answers

  • The most simple test is multiple choice naming test

    • Gif of the PlanterMoto
    • Image of Tools
    • Name all the objects
  • ErrorRecognition

    • What did they forget?
    • What is the error
  • Keep a list of all the BetaElements which have been included in a test. Each BetaElement should appear as many times as possible. Minimum 3 times in each format Image, Text, Video.

DevState ​

py
`TagsToHeaders: False`

PageTags

  • "Test.LabelDiagram"
  • "Tests.BetaDecomposition"
  • "Tests.FillInBlank"
  • "Tests.IncreasingDifficulty"
  • "Tests.MatchingTest"
  • "Tests.MoveDecomposition"
  • "Tests.MoveTest.VideoAnswer"
  • "Tests.MultipleChoiceTest"
  • "Tests.Overview"
  • "Tests.Recall.Recall.RecallBetaDiagram"
  • "Tests.ViaDecomposition"
  • "Tests.ViaSurfaceHighlight"
  • "Tests.Senario"
  • "Tests.Sequencing"

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Library released under MIT License.