[HTML][HTML] Toward predicting student's academic performance using artificial neural networks (ANNs)

Y Baashar, G Alkawsi, A Mustafa, AA Alkahtani… - Applied Sciences, 2022 - mdpi.com
Student performance is related to complex and correlated factors. The implementation of a
new advancement of technologies in educational displacement has unlimited potentials …

[HTML][HTML] Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation

CF Rodríguez-Hernández, M Musso, E Kyndt… - … and Education: Artificial …, 2021 - Elsevier
The applications of artificial intelligence in education have increased in recent years.
However, further conceptual and methodological understanding is needed to advance the …

Predicting student's performance using machine learning methods: A systematic literature review

Y Baashar, G Alkawsi, N Ali… - … on Computer & …, 2021 - ieeexplore.ieee.org
Student's performance is a success factor in higher education institutions. The excellent
record of academic achievements raises the institution's ranking as one of the criteria for a …

[HTML][HTML] Modelling, prediction and classification of student academic performance using artificial neural networks

ET Lau, L Sun, Q Yang - SN Applied Sciences, 2019 - Springer
The conventional statistical evaluations are limited in providing good predictions of the
university educational quality. This paper presents an approach with both conventional …

Predicting students academic performance using artificial neural network: A case study of an engineering course

VO Oladokun, AT Adebanjo, OE Charles-Owaba - 2008 - repository.ui.edu.ng
" The observed poor quality of graduates of some Nigerian Universities in recent times has
been partly traced to inadequacies of the National University Admission Examination …

[PDF][PDF] Predicting students' performance using machine learning techniques

H Altabrawee, OAJ Ali, SQ Ajmi - … OF UNIVERSITY OF BABYLON for pure …, 2019 - iasj.net
The ultimate goal of any educational institution is offering the best educational experience
and knowledge to the students. Identifying the students who need extra support and taking …

[HTML][HTML] Contributions of machine learning models towards student academic performance prediction: a systematic review

P Balaji, S Alelyani, A Qahmash, M Mohana - Applied Sciences, 2021 - mdpi.com
Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …

[HTML][HTML] Predicting student performance using data mining and learning analytics techniques: A systematic literature review

A Namoun, A Alshanqiti - Applied Sciences, 2020 - mdpi.com
Featured Application The herein survey is among the first research efforts to synthesize the
intelligent models and paradigms applied in education to predict the attainment of student …

[PDF][PDF] Predicting student performance using artificial neural network: In the faculty of engineering and information technology

SA Naser, I Zaqout, MA Ghosh, R Atallah… - International journal of …, 2015 - researchgate.net
In this paper an Artificial Neural Network (ANN) model, for predicting the performance of a
sophomore student enrolled in engineering majors in the Faculty of Engineering and …

[PDF][PDF] Using machine learning algorithms to predict students' performance and improve learning outcome: A literature based review

F Ofori, E Maina, R Gitonga - Journal of Information and Technology, 2020 - academia.edu
The application of machine learning techniques in predicting students' performance, based
on their background and their in-term performance has proved to be a helpful tool for …