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KNOWLEDGE COMPONENT MODELING PROJECT

2019 SIMON INITIATIVE LEARN LAB, CARNEGIE MELLON UNIVERSITY

  1. DATA CLEANSING  - We cleaned and managed student problem-solving log data of a geometry tutor from Datashop @ CMU
  2. KC MORDEL OPTIMIZATION- Based on the original model by Kenneth Koedinger & John Stamper, we built up a new Knowledge Component Model by splitting trapezoid-related problem steps from the find_individual_area knowledege component steps.
  3.  MODEL EFFICACY - Our Knowledge Component Model decreased RMSE by 0.2%, and indicated that it is nessesary to split trapizoid-repated steps from find_individual_area knowledge component.