/// <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;
}
}
}
