Artificial Intelligence in Higher Education: A Predictive Model for Academic Performance

S Pacheco-Mendoza, C Guevara, A Mayorga-Albán… - Education …, 2023 - mdpi.com
This research work evaluates the use of artificial intelligence and its impact on student's
academic performance at the University of Guayaquil (UG). The objective was to design and …

[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 …

Artificial Intelligence and education

C Rios-Campos, ESM Cánova… - … Florida Journal of …, 2023 - ojs.southfloridapublishing.com
Currently the importance of artificial intelligence in education worldwide is recognized. In
this paper the general objective was determine the situation of artificial intelligence and …

[PDF][PDF] Techniques and applications of Machine Learning and Artificial Intelligence in education: a systematic review

W Forero-Corba, FN Bennasar - RIED-Revista Iberoamericana de …, 2024 - redalyc.org
Abstract Machine learning is a field of artificial intelligence that is impacting lately in all areas
of knowledge. The areas of social sciences, especially education, are no stranger to it, so, a …

[PDF][PDF] Prediction of academic performance using data mining in first year students of peruvian university

E Yamao, LC Saavedra, PR Campos… - CAMPUS, XXIII, 2018 - academia.edu
Academic performance is a subject that has been studied for a long time. First year students
in universities are the most vulnerable to face performance problems, resulting in possible …

[HTML][HTML] Prediction of University-Level Academic Performance through Machine Learning Mechanisms and Supervised Methods

LE Contreas-Bravo, N Nieves-Pimiento… - Ingeniería, 2023 - scielo.org.co
Context: In the education sector, variables have been identified which considerably affect
students' academic performance. In the last decade, research has been carried out from …

Predictive modelling and analysis of academic performance of secondary school students: Artificial Neural Network approach

AM Adewale, AO Bamidele… - International Journal of …, 2018 - academicjournals.org
The need for educational managers and policy makers to design and implement
pedagogical and instructional interventions necessitates the development and validation of …

Application of artificial intelligence in higher education institutions: Foreign experience

N Bobro - Three Seas Economic Journal, 2024 - baltijapublishing.lv
The purpose of this article is to study the application of artificial intelligence in higher
education institutions in foreign countries. The article provides an overview of various tools …

Application of machine learning in predicting performance for computer engineering students: A case study

D Buenaño-Fernández, D Gil, S Luján-Mora - Sustainability, 2019 - mdpi.com
The present work proposes the application of machine learning techniques to predict the
final grades (FGs) of students based on their historical performance of grades. The proposal …

Predicting academic performance in mathematics using machine learning algorithms

CA Espinosa-Pinos, I Ayala-Chauvín… - … on Technologies and …, 2022 - Springer
Several factors, directly and indirectly, influence students' performance in their various
activities. Children and adolescents in the education process generate enormous data that …