/// <summary>
/// Prompt the learner modeling component to update its node probabilities.
/// </summary>
/// <param name="session">Session</param>
/// <param name="addTopic">Topic used in addition</param>
/// <param name="subTopic">Topic used in subtraction</param>
private void UpdateNode(StabilizationSession session, SceneTopic addTopic, SceneTopic subTopic)
{
if (this.learnerModelingComponent == null)
{
InitializeLearnerModelingComponent();
}
//count the correct and wrong attempts for addition
float correctAdditionCount = (float)session.Count(true, SessionTags.Operation.ADDITION);
float wrongAdditionCount = (float)session.Count(false, SessionTags.Operation.ADDITION);
//add them together to get total addition attempts
float additionCount = correctAdditionCount + wrongAdditionCount;
//if there are addition attempts...
if (additionCount != 0)
{
//get score by dividing correct attempts over total attempts
float score = correctAdditionCount / additionCount;
Debug.Log("num den for score IS " + correctAdditionCount + " " + additionCount);
// score = score - (float)(session.SessionTime () / session.GetSceneAvgSolveTime ());
// Debug.LogError ("SCORE MINUS IS "+(session.SessionTime () / session.GetSceneAvgSolveTime ()));
// score = score;
Debug.Log("SCORE IS " + score);
//depending on topic, update the respective node
switch (addTopic)
{
case SceneTopic.SIMILAR_ADD:
this.learnerModelingComponent.UpdateNode(LearnerModel.Node.Similar, LearnerModel.Operation.ADDITION, score);
break;
case SceneTopic.EQUIVALENT_ADD:
this.learnerModelingComponent.UpdateNode(LearnerModel.Node.Equivalent, LearnerModel.Operation.ADDITION, score);
break;
case SceneTopic.DISSIMILAR_ADD:
this.learnerModelingComponent.UpdateNode(LearnerModel.Node.Dissimilar, LearnerModel.Operation.ADDITION, score);
break;
}
}
//count the correct and wrong attempts for subtraction
float correctSubtractionCount = (float)session.Count(true, SessionTags.Operation.SUBTRACTION);
float wrongSubtractionCount = (float)session.Count(false, SessionTags.Operation.SUBTRACTION);
//add them together to get total subtraction attempts
float subtractionCount = correctSubtractionCount + wrongSubtractionCount;
//if there are subtraction attempts...
if (subtractionCount != 0)
{
//get score by dividing correct attempts over total attempts
float score = correctSubtractionCount / subtractionCount;
// TODO Also removed
// score = score - (float)(session.SessionTime () / session.GetSceneAvgSolveTime ());
//depending on topic, update the respective node
switch (subTopic)
{
case SceneTopic.SIMILAR_SUB:
this.learnerModelingComponent.UpdateNode(LearnerModel.Node.Similar, LearnerModel.Operation.SUBTRACTION, score);
break;
case SceneTopic.EQUIVALENT_SUB:
this.learnerModelingComponent.UpdateNode(LearnerModel.Node.Equivalent, LearnerModel.Operation.SUBTRACTION, score);
break;
case SceneTopic.DISSIMILAR_SUB:
this.learnerModelingComponent.UpdateNode(LearnerModel.Node.Dissimilar, LearnerModel.Operation.SUBTRACTION, score);
break;
}
}
}
/// <summary>
/// Initializes a new session. Subset sum set is cleared.
/// </summary>
private void InitSession()
{
additionRight.Clear();
this.currentSession = new StabilizationSession(topic, sceneAvgSolveTime);
}
/// <summary>
/// Prompt the learner modeling component to update its denominator masteries.
/// </summary>
/// <param name="session">Session</param>
/// <param name="addTopic">Topic used in addition</param>
/// <param name="subTopic">Topic used in subtraction</param>
private void UpdateDenominatorMastery(StabilizationSession session, SceneTopic addTopic, SceneTopic subTopic)
{
if (this.learnerModelingComponent == null)
{
InitializeLearnerModelingComponent();
}
//Update the denominator mastery
List <int> correctAddition = new List <int>(session.GetDenominaorsIn(true, SessionTags.Operation.ADDITION));
List <int> correctSubtraction = new List <int> (session.GetDenominaorsIn(true, SessionTags.Operation.SUBTRACTION));
List <int> wrongAddition = new List <int> (session.GetDenominaorsIn(false, SessionTags.Operation.ADDITION));
List <int> wrongSubtraction = new List <int> (session.GetDenominaorsIn(false, SessionTags.Operation.SUBTRACTION));
List <int> denominators = new List <int> (session.GetAllDistinct());
float additionCount = 0f;
float subtractionCount = 0f;
float correctAdditionCount = 0f;
float wrongAdditionCount = 0f;
float correctSubtractionCount = 0f;
float wrongSubtractionCount = 0f;
float scoreAdd = 0f;
float scoreSub = 0f;
foreach (int denominator in denominators)
{
//number of times denominator was used correctly in addition
correctAdditionCount = correctAddition.FindAll(x => x == denominator).Count;
//number of times denominator was used wrongly in addition
wrongAdditionCount = wrongAddition.FindAll(x => x == denominator).Count;
//number of times denominator was used correctly in subtraction
correctSubtractionCount = correctSubtraction.FindAll(x => x == denominator).Count;
//number of times denominator was used wrongly in subraction
wrongSubtractionCount = wrongSubtraction.FindAll(x => x == denominator).Count;
//total occurences of denominator in addition
additionCount = correctAdditionCount + wrongAdditionCount;
//total occurences of denominator in subtraction
subtractionCount = correctSubtractionCount + wrongSubtractionCount;
//if denominator did occur in addition...
if (additionCount != 0)
{
//correct over all occurences = score
scoreAdd = correctAdditionCount / additionCount;
// TODO: Removed this 3
// scoreAdd = scoreAdd - (float)(session.SessionTime () / session.GetSceneAvgSolveTime ());
//update the learner modeling component's mastery for that denominator in addTopic (addition topic)
this.learnerModelingComponent.UpdateDenominatorMastery(denominator, scoreAdd, addTopic);
}
//if denominator did occur in subtraction...
if (subtractionCount != 0)
{
//correct over all occurences = score
scoreSub = correctSubtractionCount / subtractionCount;
// TODO: Removed this 4
// scoreSub = scoreSub - (float)(session.SessionTime () / session.GetSceneAvgSolveTime ());
//update the learner modeling component's mastery for that denominator in subTopic (subtraction topic)
this.learnerModelingComponent.UpdateDenominatorMastery(denominator, scoreSub, subTopic);
}
}
}
/// <summary>
/// Takes all currently registered ghost blocks and checks their values to determine what topic the puzzle is.
/// Also updates the stability number line based on the currently registered blocks' values.
/// </summary>
private void UpdateSession()
{
List <int> denominators = new List <int> ();
FractionSet fset = new FractionSet();
bool similar = true;
bool oddEquiv = true;
bool evenEquiv = true;
int currentDenom = (int)hollowBlocks [0].GetDenominator();
for (int i = 0; i < hollowBlocks.Count; i++)
{
denominators.Add((int)hollowBlocks[i].GetDenominator());
FractionData fraction = hollowBlocks [i].GetFraction();
if (i > 0)
{
if (similar && currentDenom == fraction.denominator)
{
similar = true;
}
else
{
similar = false;
}
if (evenEquiv && currentDenom % 2 == 0 && (currentDenom % fraction.denominator == 0 || fraction.denominator % currentDenom == 0 || (General.SimplifyFraction(fraction.numerator, fraction.denominator) [0] == 1.0f && General.SimplifyFraction(fraction.numerator, fraction.denominator) [1] == 2.0f)))
{
evenEquiv = true;
}
else
{
evenEquiv = false;
}
if (oddEquiv && currentDenom % 3 == 0 && (currentDenom % fraction.denominator == 0 || fraction.denominator % currentDenom == 0 || (General.SimplifyFraction(fraction.numerator, fraction.denominator) [0] == 1.0f && General.SimplifyFraction(fraction.numerator, fraction.denominator) [1] == 3.0f) || (General.SimplifyFraction(fraction.numerator, fraction.denominator) [0] == 2.0f && General.SimplifyFraction(fraction.numerator, fraction.denominator) [1] == 3.0f)))
{
oddEquiv = true;
}
else
{
oddEquiv = false;
}
// if (similar && fraction.denominator == (int)hollowBlocks [i - 1].GetDenominator ())
// similar = true;
// else
// similar = false;
//
// if (evenEquiv && (fraction.denominator % 2) == ((int)hollowBlocks [i - 1].GetDenominator () % 2))
// evenEquiv = true;
// else
// evenEquiv = false;
//
// if (oddEquiv && (fraction.denominator % 3) == ((int)hollowBlocks [i - 1].GetDenominator () % 3))
// oddEquiv = true;
// else
// oddEquiv = false;
}
fset.fractions.Add(fraction);
}
if (similar)
{
topic = SessionTopic.SIMILAR;
}
else if (evenEquiv || oddEquiv)
{
topic = SessionTopic.EQUIVALENT;
}
else
{
topic = SessionTopic.DISSIMILAR;
}
this.currentSession = new StabilizationSession(topic, this.sceneAvgSolveTime);
if (numberLine == null)
{
this.numberLine = FindObjectOfType <StabilityNumberLine> ();
}
FractionData target = this.stabilityController.UpdateStabilityNumberLine(hollowBlocks);
// FractionData target = new FractionData ();
// target.numerator = (int)numberLine.GetTargetNumerator ();
// target.denominator = (int)numberLine.GetTargetDenominator ();
foreach (FractionSet s in SubsetSumFractions.SubsetSum(fset, target))
{
additionRight.Add(s);
}
}
