Application of artificial intelligence methods in the formation of individualized learning pathways

Individualized Learning Pathway Formation: The paper addresses the problem of forming individualized learning pathways in a distance learning management system.

Learner Digital Footprint Analysis: The paper addresses analysis of learners’ digital footprints for supporting individualized learning pathways.

Individualized Learning Pathway Formation: The paper addresses the problem of forming individualized learning pathways in a distance learning management system.

Learner Digital Footprint Analysis: The paper addresses analysis of learners’ digital footprints for supporting individualized learning pathways.

Intelligent Distance Learning System Framework: The paper presents a structural framework for an intelligent distance learning management system.

Course Knowledge Graph Modeling: The proposed approach uses a knowledge graph of an electronic course incorporating course parameters and learner data.

Knowledge Graph Vector Representations: The approach applies vector representations to vertices and relations of the course knowledge graph.

Neural Network Pathway Generation: The study proposes selecting and training a neural network architecture to generate individualized learning pathways.

Neural Network Digital Footprint Analysis: The study explores using neural networks to analyze learners’ digital footprints.

Machine Learning Applicability Enabled:

Methodological Example Provided:

Machine Learning Applicability Enabled: