Difficulty-Based Knowledge Point Clustering Algorithm Using Students’ Multi-Interactive Behaviors in Online Learning
Table 3
Symbols, semantics, and the respective values.
Symbols
Meaning and value
Index for the learner that can have values as . is number of learners
Index of knowledge point that can have values as . is number of knowledge points
The degree of student-system interaction associated with learner and knowledge point . Values are in the range of 0 to 1
The degree of student-teacher interaction associated with learner and knowledge point . Values are in the range of 0 to 1
The degree of student-student interaction associated with learner and knowledge point . Values are in the range of 0 to 1
The frequency of student-system interaction of student to knowledge point . Values are in the range of 0 to 1
The duration of student-system interaction of student to knowledge point . Values are in the range of 0 to 1
The frequency of pausing and dragging of student studying knowledge point . Values are in the range of 0 to 1
,,
Weighting factors associated with . Here, we considered values as
Directed learning path network associated with learner
Group-directed learning path networks
The in-degree of nodes associated with knowledge point .
,
Adjustable parameters associated with . Here, we considered values as
The set of learners who have interacted with knowledge point
The popularity of knowledge point . Values are in the range of 0 to 1
The degree of interaction of learner to knowledge point . If in the matrix, . If in the matrix,
The difficulty similarity based on student-system interaction between knowledge point and knowledge point . Values are in the range of 0 to 1
The difficulty similarity based on the degree of student-system interaction between knowledge point and knowledge point . Values are in the range of 0 to 1
The difficulty similarity based on group-directed learning path networks between knowledge point and knowledge point . Values are in the range of 0 to 1
The difficulty similarity based on student-teacher interaction between knowledge point and knowledge point . Values are in the range of 0 to 1
The similarity of the difficulty based on student-student interaction between knowledge point and knowledge point . Values are in the range of 0 to 1
The difficulty similarity between knowledge point and knowledge point . Values are in the range of 0 to 1
Weighting factors associated with . Here, we considered values as
Number of clusters. Here, we considered values as 2, 3, 5
The average mastery degree of knowledge point associated with knowledge point .
