Three papers that will be presented in this session are nominees for best paper.
The first one is -
"Effort-based Tutoring: An Empirical Approach to Intelligent Tutoring"
Making wayang math tutor better -
student model - mistakes, hints, time
example, if less mistakes, less hints, less time => mastery without effort, decision => increase problem difficulty
what is problem difficulty?
correctness effort factor = (mistakes made by student)/ (maximum mistakes students made)
tests to determine problem difficulty -
how accurate problem difficulties are?
axiom - pairs fo similar problems should have similar difficulty level
different from rest?
different from each other?
similar to itself?
parameters to switch topics or knowledge units -
knowledge units are chunks of problems that use similar skills
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