A Novel Hybrid Student Model for Personalized Education - Advances in Personalized Web-Based Education - page 83

Table 3.4 Kostas' progress

Domain
concepts

Learner's knowledge
Before After

(KL = 6) (KL = 6)

(0, 0, 0, 0, 1) (0, 0, 0, 0, 1)

C 1.1

C 1.2 (0,0, 0, 0.08, 0.92) (0,0, 0, 0.08, 0.92)

(0, 0, 0, 0, 1) (0, 0, 0, 0, 1)

C 1.3

(0,0, 0,0.08, 0.92) (0,0, 0,0.08, 0.92)

C 1.4

C 1.5 (0, 0, 0, 0, 1) (0, 0, 0, 0, 1)

(0, 0, 0, 0, 1) (0, 0, 0, 0, 1)

C 1.6

(0, 0, 0, 0, 1) (0, 0, 0, 0, 1)

C 1.7

C 2.1 (0, 0, 0, 0, 1) (0, 0, 0, 0, 1)

(0, 0, 0, 0.2, 0.8) (0, 0, 0, 0.2, 0.8)

C 3.1

(0, 0, 0, 0.6, 0.4) (0, 0, 0, 0.6, 0.4)

C 3.2

C 3.2.1 (0, 0, 0, 0.3, 0.7) (0, 0, 0, 0.3, 0.7)

(0, 0, 0, 0.74, 0.26) (0, 0, 0, 0.74, 0.26)

C 3.3

C 4.1 (0, 0, 0, 0, 1) (0, 0, 0, 0, 1)

C 4.2 (0, 0, 0, 0.12, 0.88) (0, 0, 0, 0.12, 0.88)

(0, 0, 0, 0.25, 0.75) (0, 0, 0, 0.25, 0.75)

C 4.3

C 4.4 (0, 0, 0, 0.24, 0.76) (0, 0, 0, 0.24, 0.76)

(0, 0, 0, 0.31, 0.69) (0, 0, 0, 0.31, 0.69)

C 4.5

(0, 0, 0, 0.3, 0.7) (0, 0, 0, 0.3, 0.7)

C 5.1

C 5.2 (0, 0, 0, 0.12, 0.88) (0, 0, 0, 0.12, 0.88)

(0, 0, 0, 0.25, 0.75) (0, 0, 0, 0.25, 0.75)

C 5.3

(0, 0, 0, 0.23, 0.77) (0, 0, 0, 0.23, 0.77)

C 5.4

C 5.5 (0, 0, 0, 0.31, 0.69) (0, 0, 0, 0.31, 0.69)

(0, 0, 0, 0.16, 0.84) (0, 0, 0, 0.16, 0.84)

C 5.6

(0, 0, 0.15, 0.6,
0.25)

(0, 0, 0.15, 0.6, 0.25)

C 6.1

(0, 0, 0.5, 0.5, 0) (0, 0, 0.5, 0.5, 0)

C 6.2

(0, 0, 0.3, 0.43,
0.27)

(0, 0, 0.3, 0.43, 0.27)

C 6.3

(0, 0, 0.2, 0.3, 0.5) (0, 0, 0, 0.5, 0.5)

C 6.4

C 6.5 (0, 0, 0.73, 0.1,

0.17)

(0, 0, 0, 0.8, 0.2)

(0, 0, 0.73, 0.1,
0.17)

(0, 0, 0.11, 0.63,
0.17)

C 6.6

(1, 0, 0, 0, 0) (1, 0, 0, 0, 0)

C 6.7

(1, 0, 0, 0, 0) (1, 0, 0, 0, 0)

C 7.1

Example 2 Kostas' current student model has the following values: KL = 6,
ErrTyp = “prone to logical errors”, PrK = “{Basic, Pascal}”. The value KL = 6
comes off his current overlay model (Table 3.4 , column 'before'). ErrTyp
is “prone to logical errors” due to the fact that he had made usually errors that