Research Article

Mining Precedence Relations among Lecture Videos in MOOCs via Concept Prerequisite Learning

Table 2

Concept prerequisite predicting results.

MethodsMeasureData miningGeometryPhysicsPrecalculusAVG

M1A83.591.985.789.587.7
P77.788.275.286.581.9
R74.385.763.382.076.3
F175.886.968.584.178.8
AUC90.296.491.595.393.4

NNA74.382.187.490.183.5
P61.669.353.571.864.1
R73.877.574.076.975.6
F167.073.061.673.668.8
AUC84.390.186.290.887.9

RefDA66.261.974.981.971.2
P51.742.449.975.154.8
R76.262.349.669.464.4
F161.450.449.472.158.3
AUC69.562.467.779.269.7

BERTA86.092.887.491.189.3
P79.788.175.686.582.5
R81.189.373.987.983.1
F180.388.674.487.182.6
AUC92.296.992.396.694.5

GEA85.591.282.490.187.3
P76.586.574.483.480.2
R81.584.175.981.980.9
F178.985.374.982.680.4
AUC91.797.093.395.494.4

ProposedA87.093.688.290.989.9
P83.791.375.686.784.3
R78.888.778.086.683.0
F181.189.876.786.683.6
AUC92.897.493.096.094.8

Bold fonts represent the maximum value of a measure on a dataset.