[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance
Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …
Some difficulties confronting most schools are delivering high-quality education to the …
[HTML][HTML] Artificial intelligence and machine learning approaches in digital education: A systematic revision
The use of artificial intelligence and machine learning techniques across all disciplines has
exploded in the past few years, with the ever-growing size of data and the changing needs …
exploded in the past few years, with the ever-growing size of data and the changing needs …
Predicting at-risk students at different percentages of course length for early intervention using machine learning models
Online learning platforms such as Massive Open Online Course (MOOC), Virtual Learning
Environments (VLEs), and Learning Management Systems (LMS) facilitate thousands or …
Environments (VLEs), and Learning Management Systems (LMS) facilitate thousands or …
Prediction of students' academic performance based on courses' grades using deep neural networks
A Nabil, M Seyam, A Abou-Elfetouh - IEEE Access, 2021 - ieeexplore.ieee.org
Predicting students' academic performance at an early stage of a semester is one of the
most crucial research topics in the field of Educational Data Mining (EDM). Students are …
most crucial research topics in the field of Educational Data Mining (EDM). Students are …
Systematic ensemble model selection approach for educational data mining
A plethora of research has been done in the past focusing on predicting student's
performance in order to support their development. Many institutions are focused on …
performance in order to support their development. Many institutions are focused on …
Assessment and evaluation of different machine learning algorithms for predicting student performance
YA Alsariera, Y Baashar, G Alkawsi… - Computational …, 2022 - Wiley Online Library
Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …
achievement is one of the metrics used in rating top‐quality universities. Despite the large …
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm
Abstract Software Defect Estimation (SDE) is a fundamental problem solving mechanism in
the field of software engineering (SE). SDE is a task that identifies software models that are …
the field of software engineering (SE). SDE is a task that identifies software models that are …
[HTML][HTML] A systematic review on machine learning models for online learning and examination systems
Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …
future and career paths. The COVID pandemic has left adverse impacts in all areas …
Artificial intelligence and machine learning to predict student performance during the COVID-19
A Tarik, H Aissa, F Yousef - Procedia Computer Science, 2021 - Elsevier
Artificial intelligence is based on algorithms that enable machines to make decisions instead
of humans. This technology improves user experiences in a variety of areas. In this paper we …
of humans. This technology improves user experiences in a variety of areas. In this paper we …
Performance prediction for higher education students using deep learning
S Li, T Liu - Complexity, 2021 - Wiley Online Library
Predicting students' performance is very important in matters related to higher education as
well as with regard to deep learning and its relationship to educational data. Prediction of …
well as with regard to deep learning and its relationship to educational data. Prediction of …