def predict_flow(student_id, task_id, practice_context):
"""
Predict flow from information about student, task and practice context.
Return real number with the following interpretation:
~ -1: too difficult task (leading to frustration)
~ 0: optimaly difficul task (leading to flow)
~ +1: too easy task (leading to boredome)
"""
student_flow_factors = practice_context.get_skill_dict(student_id)
task_flow_factors = practice_context.get_difficulty_dict(task_id)
student_flow_factors[FlowFactors.TASK_BIAS] = -1
task_flow_factors[FlowFactors.STUDENT_BIAS] = 1
potential = dict_product(student_flow_factors, task_flow_factors)
flow = activation(potential)
return flow
def predict_flow(student_id, task_id, practice_context):
"""
Predict flow from information about student, task and practice context.
Return real number with the following interpretation:
~ -1: too difficult task (leading to frustration)
~ 0: optimaly difficul task (leading to flow)
~ +1: too easy task (leading to boredome)
"""
student_flow_factors = practice_context.get_skill_dict(student_id)
task_flow_factors = practice_context.get_difficulty_dict(task_id)
student_flow_factors[FlowFactors.TASK_BIAS] = -1
task_flow_factors[FlowFactors.STUDENT_BIAS] = 1
potential = dict_product(student_flow_factors, task_flow_factors)
flow = activation(potential)
return flow
def test_predict_flow2(self):
context = PracticeContext([(FlowFactors.STUDENT_BIAS, 11, None, 5.2),
(FlowFactors.CONDITIONS, 11, None, 0),
(FlowFactors.LOOPS, 11, None, 1.2),
(FlowFactors.LOGIC_EXPR, 11, None, 0),
(FlowFactors.COLORS, 11, None, 0),
(FlowFactors.TOKENS, 11, None, 0),
(FlowFactors.PITS, 11, None, -0.1),
(FlowFactors.TASK_BIAS, None, 12, 3.7),
(FlowFactors.CONDITIONS, None, 12, 0),
(FlowFactors.LOOPS, None, 12, 0.5),
(FlowFactors.LOGIC_EXPR, None, 12, 0),
(FlowFactors.COLORS, None, 12, 0),
(FlowFactors.TOKENS, None, 12, 0),
(FlowFactors.PITS, None, 12, 2.0)])
result = predict_flow(student_id=11,
task_id=12,
practice_context=context)
self.assertAlmostEquals(activation(1.9), result)
def test_predict_flow2(self):
context = PracticeContext([
(FlowFactors.STUDENT_BIAS, 11, None, 5.2),
(FlowFactors.CONDITIONS, 11, None, 0),
(FlowFactors.LOOPS, 11, None, 1.2),
(FlowFactors.LOGIC_EXPR, 11, None, 0),
(FlowFactors.COLORS, 11, None, 0),
(FlowFactors.TOKENS, 11, None, 0),
(FlowFactors.PITS, 11, None, -0.1),
(FlowFactors.TASK_BIAS, None, 12, 3.7),
(FlowFactors.CONDITIONS, None, 12, 0),
(FlowFactors.LOOPS, None, 12, 0.5),
(FlowFactors.LOGIC_EXPR, None, 12, 0),
(FlowFactors.COLORS, None, 12, 0),
(FlowFactors.TOKENS, None, 12, 0),
(FlowFactors.PITS, None, 12, 2.0)
])
result = predict_flow(student_id=11, task_id=12, practice_context=context)
self.assertAlmostEquals(activation(1.9), result)
