Context-Based Data Model for Effective Real-Time Learning Analytics

Title	Journal	Publication Date
Design and implementation of a learning analytics toolkit for teachers		2012
Data models in learning analytics	CEUR Workshop Proceedings	0
Penetrating the fog: Analytics in learning and education		2011
Learning analytics		2012
10.1109/TLT.2016.2541664

Title	Journal	Journal Categories	Citations	Publication Date
Predicting University Student Graduation Using Academic Performance and Machine Learning: A Systematic Literature Review	IEEE Access	Technology: Electrical engineering. Electronics. Nuclear engineering Science: Science (General): Cybernetics: Information theory Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics		2024

Category	Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering	1
Science: Science (General): Cybernetics: Information theory	1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks	1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication	1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics	1

The category Technology: Electrical engineering. Electronics. Nuclear engineering 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Predicting University Student Graduation Using Academic Performance and Machine Learning: A Systematic Literature Review and was published in 2024. The most recent citation comes from a 2024 study titled Predicting University Student Graduation Using Academic Performance and Machine Learning: A Systematic Literature Review. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the IEEE Access cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.