org.activemath.studentmodel2.assessment.tbmirt
Class IRTTransferableBeliefModel

java.lang.Object
  org.activemath.studentmodel2.assessment.tbmirt.IRTTransferableBeliefModel

All Implemented Interfaces:

IBeliefModel

public class IRTTransferableBeliefModel
extends Object
implements IBeliefModel

Constructor Summary

IRTTransferableBeliefModel()

Method Summary

IBeliefContainer	estimateConceptMastery(Collection<IBeliefContainer> masteries) Computes a complete mastery (value in [0, 100]), given masteries for all competencies
IBeliefContainer	estimateMastery(Collection<Evidence> evidences) Calculate the beliefs and estimate the mastery based on the beliefs.
IBeliefContainer	estimateMastery(Collection<Evidence> directEvidences, Collection<Evidence> indirectEvidences) Calculate the beliefs and estimate the mastery based on the beliefs.
static double	getDirectEvidenceWeight()
IRinterval	getInformationRadius(Collection<Evidence> evidences) Calculate a reasonable value for the information radius based on the available evidence
static IRTTransferableBeliefModel	getInstance() Get an instance (singleton) of IRTTransferableBeliefModel
static double	getIRrange()
String	getName() Get the name of the belief model in use
static double	getUncertaintyMass()
boolean	isPositiveEvidence(Evidence evidence) Determines whether the given exercise is a positive evidence or a negative one - needed to determine the direction of propagation of indirect evidence.
static void	setDirectEvidenceWeight(double directEvidenceWeight)
static void	setIRrange(double rrange)
static void	setUncertaintyMass(double uncertaintyMass)

Methods inherited from class java.lang.Object

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

Constructor Detail

IRTTransferableBeliefModel

public IRTTransferableBeliefModel()

Method Detail

getInstance

public static IRTTransferableBeliefModel getInstance()

Get an instance (singleton) of IRTTransferableBeliefModel

Returns:

an instance of IRTTransferableBeliefModel

getInformationRadius

public IRinterval getInformationRadius(Collection<Evidence> evidences)

Calculate a reasonable value for the information radius based on the available evidence

Parameters:

evidences -

Returns:

The information radius

estimateMastery

public IBeliefContainer estimateMastery(Collection<Evidence> evidences)

Description copied from interface: IBeliefModel

Calculate the beliefs and estimate the mastery based on the beliefs.

Specified by:

estimateMastery in interface IBeliefModel

Parameters:

evidences - - A list of evidences to be taken into account

Returns:

- BaliefContainer with corresponding belief values

estimateMastery

public IBeliefContainer estimateMastery(Collection<Evidence> directEvidences,
                                        Collection<Evidence> indirectEvidences)

Description copied from interface: IBeliefModel

Calculate the beliefs and estimate the mastery based on the beliefs. This method can differentiate between direct and indirect evidence.

Specified by:

estimateMastery in interface IBeliefModel

Returns:

- BaliefContainer with corresponding belief values

estimateConceptMastery

public IBeliefContainer estimateConceptMastery(Collection<IBeliefContainer> masteries)

Description copied from interface: IBeliefModel

Computes a complete mastery (value in [0, 100]), given masteries for all competencies

Specified by:

estimateConceptMastery in interface IBeliefModel

Parameters:

masteries - - a collection containing the different masteries as List of BeliefContainers for each competency

Returns:

A BeliefContainer, that contains the Mastery in [0,100] for a concept

getName

public String getName()

Description copied from interface: IBeliefModel

Get the name of the belief model in use

Specified by:

getName in interface IBeliefModel

Returns:

- The name of the model, like bayes or tbm

isPositiveEvidence

public boolean isPositiveEvidence(Evidence evidence)

Description copied from interface: IBeliefModel

Determines whether the given exercise is a positive evidence or a negative one - needed to determine the direction of propagation of indirect evidence.

Specified by:

isPositiveEvidence in interface IBeliefModel

Returns:

True if it is a positive evidence, false otherwise

getUncertaintyMass

public static double getUncertaintyMass()

Returns:

the uncertaintyMass

setUncertaintyMass

public static void setUncertaintyMass(double uncertaintyMass)

Parameters:

uncertaintyMass - the uncertaintyMass to set

getIRrange

public static double getIRrange()

Returns:

the iRrange

setIRrange

public static void setIRrange(double rrange)

Parameters:

rrange - the iRrange to set

setDirectEvidenceWeight

public static void setDirectEvidenceWeight(double directEvidenceWeight)

Parameters:

directEvidenceWeight - The new weight in [0,1], to weigh the direct evidence count for calculating the plausability

getDirectEvidenceWeight

public static double getDirectEvidenceWeight()

Returns:

The direct evidence weight

See Also:

{@link org.activemath.studentmodel2.assessment.tbmirt.IRTTransferableBeliefModel.setDirectEvidenceWeight()}