A survey of knowledge graph approaches and applications in education

K Qu, KC Li, BTM Wong, MMF Wu, M Liu - Electronics, 2024 - mdpi.com
This paper presents a comprehensive survey of knowledge graphs in education. It covers
the patterns and prospects of research in this area. A total of 48 relevant publications …

[HTML][HTML] Heterogeneous data integration: Challenges and opportunities

IM Putrama, P Martinek - Data in Brief, 2024 - Elsevier
Integrating multiple data source technologies is essential for organizations to respond to
highly dynamic market needs. Although physical data integration systems have been …

The foundation for future education, teaching, training, learning, and performing infrastructure-The open interoperability conceptual framework approach

A Perisic, I Perisic, M Lazic, B Perisic - Heliyon, 2023 - cell.com
The proliferation of Information and Communication Technologies (ICT) in Education,
Teaching, Training, Learning, and the operational application (Performing) of acquired …

The construction of knowledge graphs based on associated STEM concepts in MOOCs and its guidance for sustainable learning behaviors

X **a, W Qi - Education and Information Technologies, 2024 - Springer
The full implementation of MOOCs in online education offers new opportunities for
integrating multidisciplinary and comprehensive STEM education. It facilitates the alignment …

[HTML][HTML] Internet of Things intrusion detection: Research and practice of NSENet and LSTM fusion models

S Li, Z Wang, S Yang, X Luo, D He, S Chan - Egyptian Informatics Journal, 2024 - Elsevier
To address the problems of complex environment, limited device computational resources
and limited memory resources in the existing IoT, SELSTM, an intrusion detection system …

Critical success and failure factors in the AI lifecycle: a knowledge graph-based ontological study

X Hao, E Demir, D Eyers - Journal of Modelling in Management, 2025 - emerald.com
Purpose The purpose of this study is to provide a holistic understanding of the factors that
either promote or hinder the adoption of artificial intelligence (AI) in supply chain …

Learning behaviour prediction and multi-task recommendation based on a knowledge graph in MOOCs

X **a, W Qi - Technology, Pedagogy and Education, 2025 - Taylor & Francis
One challenging issue in improving the teaching and learning methods in MOOCs is to
construct potential knowledge graphs from massive learning resources. Therefore, this study …

The Impacts of the Analysis, Debate, and Finding Models on Learning Natural Sciences

A Apdoludin, M Megawati, RE Putra… - Qubahan Academic …, 2024 - journal.qubahan.com
Problem solving of low critical thinking skills, difficulty in practicing science skills, analyzing
students' concepts in depth and low learning outcomes are serious problems that must be …

[HTML][HTML] Learning-driven Data Fabric Trends and Challenges for cloud-to-thing continuum

PK Donta, CK Dehury, YC Hu - Journal of King Saud University-Computer …, 2024 - Elsevier
This special issue is a collection of emerging trends and challenges in applying learning-
driven approaches to data fabric architectures within the cloud-to-thing continuum. As data …

OISHI: an ontology integration Framework for domains of Socio-Humanitarian importance incorporating hybrid machine intelligence

E Bhaveeasheshwar, G Deepak - International Conference on Electronic …, 2023 - Springer
There is a need for strategic ontology integration as the integration of ontologies that are
cognitive entities and by themselves are knowledge representation, and description models …