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Table 2 Derivation rules and set definition

From: Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths

Description

Rule

If node result is satisfactory then recommend go forward

Node(?p) ˄hasResult(?p,? s)

˄optimalLearningLevel(?ll)

˄sqwrl:greaterThanOrEqual(?s,?ll)

→AnswerGoForward(?p)

HIGH is the set of all learning materials which difficulty is high or very high.

HIGH ≡ LearningMaterial

describedBy.(difficulty(“high”)

difficulty(“veryhigh”))

UPPER is the set of all nodes that belong to upper learning level.

UPPER ≡ Node

belongsTo.learningLevel(“upper”)