org.activemath.webapp.evaluators
Class EvaluationFunction

java.lang.Object
  org.activemath.webapp.evaluators.EvaluationFunction

public abstract class EvaluationFunction
extends Object

Class that contains the possible updating functions (behaviours). These functions correlate the number of times the user saw an item/ solved an exercise with the amplitude of the assessment updating. It's based on a typesafe enum enhanced with an attached behaviour for each of the interaction types READ, EXAMPLE and EXERCISE.

Field Summary

static EvaluationFunction	LINEAR_DECREASE Linear decrease function: The update fades in a linear fashion with the number of interactions.
static EvaluationFunction	LINEAR_INCREASE Linear increase function: The update grows in a linear fashion with the number of interactions.
static EvaluationFunction	LOG_DECREASE Logarithmic decrease function: The update fades in a logarithmic fashion with the number of interactions.
static EvaluationFunction	LOG_INCREASE Logarithmic increase function: The update grows in a logarithmic fashion with the number of interactions.
static EvaluationFunction	NONE No function: The update doesn't depend on the number of interactions.
static EvaluationFunction	QUAD_DECREASE Quadratic decrease function: The update fades in a quadratic fashion with the number of interactions, i.e the amplitude values are divided by the number of times this Element has been shown to the user to the square.
static EvaluationFunction	QUAD_INCREASE Quadratic increase function: The update grows in a quadratic fashion with the number of interactions.

Method Summary

String

toString()

Methods inherited from class java.lang.Object

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

Field Detail

NONE

public static final EvaluationFunction NONE

No function: The update doesn't depend on the number of interactions.

LINEAR_INCREASE

public static final EvaluationFunction LINEAR_INCREASE

Linear increase function: The update grows in a linear fashion with the number of interactions.
Concrete example, just for the Knowledge-value, taking readKnowledgeUpdate as 0.3: user sees item x for the 1st. time -> K-value is 0.0 + 0.3*1.0 = 0.3 user sees item x for the 2nd time -> K-value is 0.3 + 0.3*2.0 = 0.9

LOG_INCREASE

public static final EvaluationFunction LOG_INCREASE

Logarithmic increase function: The update grows in a logarithmic fashion with the number of interactions.

QUAD_INCREASE

public static final EvaluationFunction QUAD_INCREASE

Quadratic increase function: The update grows in a quadratic fashion with the number of interactions.

LINEAR_DECREASE

public static final EvaluationFunction LINEAR_DECREASE

Linear decrease function: The update fades in a linear fashion with the number of interactions.

LOG_DECREASE

public static final EvaluationFunction LOG_DECREASE

Logarithmic decrease function: The update fades in a logarithmic fashion with the number of interactions. To be concrete: The update amplitude values are divided by log(number of times this Element has been shown to the user) + 1.

QUAD_DECREASE

public static final EvaluationFunction QUAD_DECREASE

Quadratic decrease function: The update fades in a quadratic fashion with the number of interactions, i.e the amplitude values are divided by the number of times this Element has been shown to the user to the square.

Method Detail

toString

public String toString()

Overrides:

toString in class Object