Add to ORKGDuring the transit of students in the acquisition of competencies that allow them a good future development of their profession, they face the constant challenge of overcoming academic subjects. According to the learning theory, the probability of success of his studies is a multifactorial problem, with learning-teaching interaction being a transcendental element (Muñoz-Repiso and Gómez-Pablos in Edutec. Revista Electrónica de Tecnología Educativa 52: a291–a291 (2015), [1]. This research describes a predicative model of academic performance using neural network techniques on a real data set
As education is an essential enabler in achieving Sustainable Development Goals (SDGs), it should “e...
Prediction of student performance is one of the most important subjects of educational data mining....
Academic education is one of the key areas in the process of modernization of a country. The ability...
The applications of artificial intelligence in education have increased in recent years. However, fu...
oai:flr.journals.publicknowledgeproject.org:article/13Many studies have explored the contribution of...
The current chapter starts from the idea that phenomena such as student learning, academic performan...
Despite of providing high quality on education, demand on predicting student academic performances b...
In recent years, artificial intelligence has played an important role in education, wherein one of t...
The conventional statistical evaluations are limited in providing good predictions of the university...
The aim of this research is to develop and test an artificial neural network model for predicting fi...
Abstract- Undergraduate student’s academic performance is a long standing issue in higher education ...
Context: In the education sector, variables have been identified which considerably affect students...
Abstract A major problem an instructor experiences is the systematic monitoring of students’ academi...
This study aims to develop the academic achievement prediction (ACP) model using Neural Networks. It...
Student performance is related to complex and correlated factors. The implementation of a new advanc...
As education is an essential enabler in achieving Sustainable Development Goals (SDGs), it should “e...
Prediction of student performance is one of the most important subjects of educational data mining....
Academic education is one of the key areas in the process of modernization of a country. The ability...
The applications of artificial intelligence in education have increased in recent years. However, fu...
oai:flr.journals.publicknowledgeproject.org:article/13Many studies have explored the contribution of...
The current chapter starts from the idea that phenomena such as student learning, academic performan...
Despite of providing high quality on education, demand on predicting student academic performances b...
In recent years, artificial intelligence has played an important role in education, wherein one of t...
The conventional statistical evaluations are limited in providing good predictions of the university...
The aim of this research is to develop and test an artificial neural network model for predicting fi...
Abstract- Undergraduate student’s academic performance is a long standing issue in higher education ...
Context: In the education sector, variables have been identified which considerably affect students...
Abstract A major problem an instructor experiences is the systematic monitoring of students’ academi...
This study aims to develop the academic achievement prediction (ACP) model using Neural Networks. It...
Student performance is related to complex and correlated factors. The implementation of a new advanc...
As education is an essential enabler in achieving Sustainable Development Goals (SDGs), it should “e...
Prediction of student performance is one of the most important subjects of educational data mining....
Academic education is one of the key areas in the process of modernization of a country. The ability...