Power to the learner: Towards human-intuitive and integrative recommendations with open educational resources
Educational recommenders have received much less attention in comparison with e-
commerce-and entertainment-related recommenders, even though efficient intelligent tutors …
commerce-and entertainment-related recommenders, even though efficient intelligent tutors …
[HTML][HTML] ConceptGCN: Knowledge concept recommendation in MOOCs based on knowledge graph convolutional networks and SBERT
Abstract Massive Open Online Courses (MOOCs) have gained popularity in the technology-
enhanced learning (TEL) domain. To enhance the learning experience in MOOCs …
enhanced learning (TEL) domain. To enhance the learning experience in MOOCs …
采用局部子图嵌入的MOOCs 知识概念推荐模型.
居程程， 祝义 - Journal of Frontiers of Computer Science & …, 2024 - search.ebscohost.com
大规模开放在线课程(MOOCs) 在减少用户学习盲区和改善用户体验方面已经有大量的研究,
尤其是基于图神经网络的个性化课程资源推荐, 但现有工作主要集中在固定或同质图上 …
尤其是基于图神经网络的个性化课程资源推荐, 但现有工作主要集中在固定或同质图上 …
Meta-relationship for course recommendation in MOOCs
P Hao, Y Li, C Bai - Multimedia Systems, 2023 - Springer
Course recommendations are used to help students with different needs to choose courses.
However, students' needs are not always determined by their personal interests, they are …
However, students' needs are not always determined by their personal interests, they are …
Towards explainable educational recommendation through path reasoning methods
Current recommender systems in education lack explainability and interpretability, making it
challenging for stakeholders to understand how the recommended content relates to them …
challenging for stakeholders to understand how the recommended content relates to them …
ROME: A Graph Contrastive Multi-View Framework From Hyperbolic Angular Space for MOOCs Recommendation
As Massive Open Online Courses (MOOCs) expand and diversify, more and more
researchers study recommender systems that take advantage of interaction data to keep …
researchers study recommender systems that take advantage of interaction data to keep …
Research on Joint Recommendation Algorithm for Knowledge Concepts and Learning Partners Based on Improved Multi-Gate Mixture-of-Experts
Z Shou, Y Chen, H Wen, J Liu, J Mo, H Zhang - Electronics, 2024 - mdpi.com
The rise of Massive Open Online Courses (MOOCs) has increased the large audience for
higher education. Different learners face different learning difficulties in the process of online …
higher education. Different learners face different learning difficulties in the process of online …
Research on Knowledge Concept Recommendation Algorithm with Spatial-Temporal Information
Z Shou, Y Chen, H Zhang, J Mo - IEEE Access, 2024 - ieeexplore.ieee.org
Online learning is an important complementary form of offline classroom learning, in order to
meet the personalized learning needs of students in the online learning process and …
meet the personalized learning needs of students in the online learning process and …
Navigating Academia–Recommender Systems for Module Exploration
N Hagemann - 2022 - researchrepository.ucd.ie
Personalised recommendations feature prominently in many aspects of our lives, from the
movies we watch to the news we read and even the people we date. However, one area that …
movies we watch to the news we read and even the people we date. However, one area that …
A Collaborative Graph Convolutional Networks and Learning Styles Model for Courses Recommendation
J Zhu, L Wang, Y Liu, PK Chen, G Zhang - International Conference on …, 2022 - Springer
With the rise of Massive Open Online Courses (MOOCs) and the deepening of lifelong
learning, there is a growing demand for learners to learn on online learning platforms. The …
learning, there is a growing demand for learners to learn on online learning platforms. The …