Analyzing and predicting students' performance by means of machine learning: A review
JL Rastrollo-Guerrero, JA Gómez-Pulido… - Applied sciences, 2020 - mdpi.com
Predicting students' performance is one of the most important topics for learning contexts
such as schools and universities, since it helps to design effective mechanisms that improve …
such as schools and universities, since it helps to design effective mechanisms that improve …
Predicting student performance and its influential factors using hybrid regression and multi-label classification
Understanding, modeling, and predicting student performance in higher education poses
significant challenges concerning the design of accurate and robust diagnostic models …
significant challenges concerning the design of accurate and robust diagnostic models …
Educational data mining in higher education in sub-Saharan Africa: A systematic literature review and research agenda
The impact of the coronavirus disease (COVTD-19) will see an increase in data generated
by higher education institutions (HEIs) in Sub-Saharan Africa as more institutions introduce …
by higher education institutions (HEIs) in Sub-Saharan Africa as more institutions introduce …
Preference cognitive diagnosis for student performance prediction
P Jiang, X Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Knowledge states modeling is a fundamental issue in online education. One of its tasks is to
discover the potential knowledge capacity of students for predicting their performance (ie …
discover the potential knowledge capacity of students for predicting their performance (ie …
Course recommendation with deep learning approach
Course selection is a crucial task which may affect greatly on student performance. Because
of poor performances, numerous students have been receiving formal warnings and …
of poor performances, numerous students have been receiving formal warnings and …
SNMCF: A Scalable Non-negative Matrix Co-Factorization for Student Cognitive Modeling
Student cognitive modeling plays an important role in the rapid development of educational
data mining research. It aims to discover students' proficiency in knowledge concepts as well …
data mining research. It aims to discover students' proficiency in knowledge concepts as well …
A New Approach to Modelling Students' Socio-Emotional Attributes to Predict Their Performance in Intelligent Tutoring Systems.
Intelligent Tutoring Systems (ITS) are computer-based learning environments that aim to
imitate to the greatest possible extent the behavior of a human tutor in their capacity as a …
imitate to the greatest possible extent the behavior of a human tutor in their capacity as a …
Student Performance Prediction Using A Cascaded Bi-level Feature Selection Approach
W Abdullahi, MO Kenneth… - Journal of Computer …, 2021 - journals.bilpubgroup.com
Features in educational data are ambiguous which leads to noisy features and curse of
dimensionality problems. These problems are solved via feature selection. There are …
dimensionality problems. These problems are solved via feature selection. There are …
[PDF][PDF] Multi-relational and social-influence model for predicting student performance in intelligent tutoring systems (ITS)
Recent studies have shown that Matrix Factorization (MF) method, deriving from
recommendation systems, can predict student performance as part of Intelligent Tutoring …
recommendation systems, can predict student performance as part of Intelligent Tutoring …
Comparing the performance of artificial intelligence methods in predicting students' academic progress
Todays, artificial intelligence methods can extract the knowledge hidden in the educational
data sets by discovering the relationship between different features. This knowledge can …
data sets by discovering the relationship between different features. This knowledge can …