Predicting academic performance: a systematic literature review
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …
improve educational outcomes. With effective performance prediction approaches …
On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010–2018
A Charitopoulos, M Rangoussi… - International Journal of …, 2020 - Springer
The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …
methods to answer education-related problems based on the analysis of educational data …
Educational big data: Predictions, applications and challenges
Educational big data is becoming a strategic educational asset, exceptionally significant in
advancing educational reform. The term educational big data stems from the rapidly growing …
advancing educational reform. The term educational big data stems from the rapidly growing …
A B2B flexible pricing decision support system for managing the request for quotation process under e-commerce business environment
In the era of digitalisation, e-commerce retail sites have become decisive channels for
reaching millions of potential customers worldwide. Digital marketing strategies are …
reaching millions of potential customers worldwide. Digital marketing strategies are …
Fuzzy-based active learning for predicting student academic performance using autoML: a step-wise approach
Predicting students' learning outcomes is one of the main topics of interest in the area of
Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning …
Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning …
Blockchain-IIoT-big data aided process control and quality analytics
The literature on quality management system (QMS) assumes that product and process
performance data are authentic and easily accessible. This assumption, while ideologically …
performance data are authentic and easily accessible. This assumption, while ideologically …
S PRAR: A novel relational association rule mining classification model applied for academic performance prediction
This paper analyses the problem of predicting students' academic performance, a subject
that is increasingly investigated within the Educational Data Mining literature. For a better …
that is increasingly investigated within the Educational Data Mining literature. For a better …
[PDF][PDF] Building student's performance decision tree classifier using boosting algorithm
F Jauhari, AA Supianto - Indones. J. Electr. Eng. Comput. Sci, 2019 - researchgate.net
Student‟ s performance is the most important value of the educational institutes for their
competitiveness. In order to improve the value, they need to predict student‟ s performance …
competitiveness. In order to improve the value, they need to predict student‟ s performance …
Discovery of associated consumer demands: Construction of a co-demanded product network with community detection
Some consumers have various product demands that are associated with each other.
Although there are methods for discovering the associations among co-purchased products …
Although there are methods for discovering the associations among co-purchased products …
Bibliometric analysis of research on learning analytics based on web of science database
T Talan, M Demirbilek - Informatics in Education, 2023 - ceeol.com
The purpose of this study is to reveal the status of scientific publications on learning
analytics from the past to the present in terms of bibliometric indicators. A total of 659 …
analytics from the past to the present in terms of bibliometric indicators. A total of 659 …