An Implicit Knowledge Oriented Algorithm for Learning Path Recommendation

Abstract

Focusing on the lack of implicit knowledge teaching in online teaching activities and combining related research achievements of learning theory and knowledge model, this paper proposes an algorithm for learning path recommendation which is based on ant colony algorithm. Comprehensively considering the students' cognitive style, knowledge basis and group preference, this algorithm takes implicit knowledge as the essential learning goal and recommends personalized learning paths to them. The experimental results prove that the algorithm can effectively improve students' academic performance and learning efficiency.