Semantic Data Engineering for Intelligent Educational Learning Systems through Process Mining-Reference-Cited by-同舟云学术

Semantic Data Engineering for Intelligent Educational Learning Systems through Process Mining

Published:2023-01-16 Issue: Volume: Page:
ISSN:
Container-title:2023 Future of Educational Innovation-Workshop Series Data in Action
language:
Short-container-title:

Author:

Okoye Kingsley¹,Islam Syed²,Naeem Usman²,Hosseini Samira³

Affiliation:

1. Institute for Future of Education, & College of Arts Technologies and Innovation Tecnologico de Monterrey & University of East London,Writing Lab,Mexico & London,Monterrey,UK

2. College of Arts Technologies and Innovation University of East London,School of Architecture Computing and Engineering,London,United Kingdom

3. Institute for Future of Education, & School of Engineering and Sciences Tecnologico de Monterrey,Writing Lab,Monterrey,Mexico

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10104517/10104591/10105072.pdf?arnumber=10105072

Reference30 articles.

1. Semantic-Based Model Analysis Towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain

2. Evaluating Evaluation Metrics for Ontology-Based Applications: Infinite Reflection;maynard;Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08),2008

3. A survey on educational process mining

4. Process mining from educational data;trcka;Handbook of Educational Data Mining,2010

5. The Description Logic Handbook

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An overview of semantic-based process mining techniques: trends and future directions;Knowledge and Information Systems;2024-06-26