A Knowledge Map Mining-Based Personalized Learning Path Recommendation Solution for English Learning

Duong Nguyen, Duong Nguyen, Thu Minh Tran Nguyen, Thu Minh Tran Nguyen

2024

Abstract

Recommendation systems (RS) have been widely utilized across various fields, particularly in education, where smart e-learning systems recommend personalized learning paths (PLP) based on the characteristics of learners and learning resources. Despite efforts to provide highly personalized recommendations, challenges such as data sparsity and cold-start issues persist. Recently, knowledge graph (KG)-based RS development has garnered significant interest. KGs can leverage the properties of users and items within a unified graph structure, utilizing semantic relationships among entities to address these challenges and offer more relevant recommendations than traditional methods. In this paper, we propose a KG-based PLP recommendation solution to support English learning by generating a sequence of lessons designed to guide learners effectively from their current English level to their target level. We built a domain KG architecture specifically for studying English certification exams, incorporating key concept classes and their relationships. We then researched and applied graph data mining algorithms (GAs) to create an effective PLP recommendation solution. Using consistent experimental conditions and a selected set of weights, along with our collected dataset, we evaluated our solution based on criteria such as accuracy, efficiency, stability, and execution time.

Paper Citation

in Harvard Style

Nguyen D. and Minh Tran Nguyen T. (2024). A Knowledge Map Mining-Based Personalized Learning Path Recommendation Solution for English Learning. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN 978-989-758-716-0, SciTePress, pages 48-59. DOI: 10.5220/0012945200003838

in Bibtex Style

@conference{kdir24,
author={Duong Nguyen and Thu Minh Tran Nguyen},
title={A Knowledge Map Mining-Based Personalized Learning Path Recommendation Solution for English Learning},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2024},
pages={48-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012945200003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - A Knowledge Map Mining-Based Personalized Learning Path Recommendation Solution for English Learning
SN - 978-989-758-716-0
AU - Nguyen D.
AU - Minh Tran Nguyen T.
PY - 2024
SP - 48
EP - 59
DO - 10.5220/0012945200003838
PB - SciTePress