org.activemath.studentmodel2.evaluation
Class UlogReplayStepPredictor

java.lang.Object
  org.activemath.studentmodel2.evaluation.UlogReplayStepPredictor

public class UlogReplayStepPredictor
extends Object

This class replays ulogs and evaluates the LearnerModel in the following way:
Before every issuing of an ExerciseStepEvent (SLM) or ExerciseFinishedEvent (xLM), a prediction of the achievement of this exercise done by the user is made (based on the LM mastery estimation and the exercise difficulty) and veryfied with the real achievement. This results in a prediction error which will be stored in this class for later reporting.

Version:

Aug. 28, 2007

Field Summary

protected static Logger

log

Constructor Summary

UlogReplayStepPredictor()

Method Summary

EvalReport	createReport() Creates a Report for a stepwise prediction eval
Map	getExerciseMap()
String	getLearnerModelName()
double	getProximity()
Map	getUserMap()
boolean	run() Run the stepwise evaluation.
void	setExerciseMap(Map exerciseMap)
void	setLearnerModelName(String learnerModelName)
void	setProximity(double proximity)
void	setUserMap(Map userMap)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

log

protected static Logger log

Constructor Detail

UlogReplayStepPredictor

public UlogReplayStepPredictor()

Method Detail

run

public boolean run()

Run the stepwise evaluation.

• recreate the events
• do estimation of exercise achievements
• store error in prediction
• and play the event such that the LearnerModel can update its mastery estimation

Parameters:

iterationCount - - how may times per ulog should the Eval run, because estimation is probability based

Returns:

true if eval run completed successfully, false otherwise

createReport

public EvalReport createReport()

Creates a Report for a stepwise prediction eval

Returns:

The EvalReport

getLearnerModelName

public String getLearnerModelName()

Returns:

the learnerModelName

setLearnerModelName

public void setLearnerModelName(String learnerModelName)

Parameters:

learnerModelName - the learnerModelName to set

getExerciseMap

public Map getExerciseMap()

Returns:

the exerciseMap

setExerciseMap

public void setExerciseMap(Map exerciseMap)

Parameters:

exerciseMap - the exerciseMap to set

getUserMap

public Map getUserMap()

Returns:

the userMap

setUserMap

public void setUserMap(Map userMap)

Parameters:

userMap - the userMap to set

getProximity

public double getProximity()

Returns:

the proximity

setProximity

public void setProximity(double proximity)

Parameters:

proximity - the proximity to set