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The Behavior of Tutoring Systems (imagine (Big Data, Fitness for every…
The Behavior of Tutoring Systems
summary
Inner Loop
Minimal feedback
Delay
Demand
Immediate
Error-specific feedback
step analyzer
incorrect reason
debug
find error
identify bug
fix / solve
correct step
step analyzer
link to knowledge component
minimal feedback
prevent error again
next Steps
When
really needed
Help abuse
Help refusal
What
correct
not redundant
Instructor's preference
learner's plan
How(weak to strong)
Point
Teach
Bottom-out
Assessment of knowledge
granularity/grain-size
coarse-grained
progress/coverage
num of helps
frequency errors/ time/ num of attempts
fine-grained
learning events
failures
others
effect size
abort old information
help -> evidence? lackness?
difficulty equally?
frequency of error type
latter show knowledge components
Review of solution
delayed feedback
Outer Loop
Task Selection
user select
fixed sequence
mastery learning
Sherlock
macroadaptation
Tasks set
connection
delay feedback & response
online test & instant feedback
game level choose & hint
imagine
Big Data
Fitness for every subject?
ITS gamification
eye-tracking information