A data mining approach to guide students through the enrollment process based on academic performance
C Vialardi, J Chue, JP Peche, G Alvarado… - User modeling and user …, 2011 - Springer
Student academic performance at universities is crucial for education management systems.
Many actions and decisions are made based on it, specifically the enrollment process …
Many actions and decisions are made based on it, specifically the enrollment process …
[PDF][PDF] Application of machine learning methods to predict student performance: a systematic literature review
AA Enughwure, ME Ogbise - Int. Res. J. Eng. Technol, 2020 - academia.edu
In recent times, the need for the application of machine learning in the educational frontier
has become crucial. Most educational administrators and researchers are using various …
has become crucial. Most educational administrators and researchers are using various …
Using recommender systems for matching students with suitable specialization: An exploratory study at King Abdulaziz University
K Alshaikh, N Bahurmuz, O Torabah… - … Journal of Emerging …, 2021 - learntechlib.org
Abstract In Saudi Arabia, all high school graduates who want join local universities have to
go through a preparatory year before selecting their specific specialization/major. One of the …
go through a preparatory year before selecting their specific specialization/major. One of the …
A predictive model using machine learning algorithm in identifying students probability on passing semestral course
AC Doctor - arXiv preprint arXiv:2304.05565, 2023 - arxiv.org
This study aims to determine a predictive model to learn students probability to pass their
courses taken at the earliest stage of the semester. To successfully discover a good …
courses taken at the earliest stage of the semester. To successfully discover a good …
[PDF][PDF] Performance prediction for students: A multi-strategy approach
This paper presents a study on Predicting Student Performance (PSP) in academic systems.
In order to solve the task, we have proposed and investigated different strategies …
In order to solve the task, we have proposed and investigated different strategies …
Creating a recommender system to support higher education students in the subject enrollment decision
AJ Fernández-García, R Rodríguez-Echeverría… - IEEE …, 2020 - ieeexplore.ieee.org
Higher Education plays a principal role in the changing and complex world of today, and
there has been rapid growth in the scientific literature dedicated to predicting students' …
there has been rapid growth in the scientific literature dedicated to predicting students' …
[HTML][HTML] A machine learning approach feature to forecast the future performance of the universities in Canada
University ranking is a technique of measuring the performance of Higher Education
Institutions (HEIs) by evaluating them on various criteria like student satisfaction …
Institutions (HEIs) by evaluating them on various criteria like student satisfaction …
Pcrs: Personalized course recommender system based on hybrid approach
The traditional system of selecting courses to carry out research work is time consuming,
risky and a tedious task, that not only badly affect the performance but the learning …
risky and a tedious task, that not only badly affect the performance but the learning …
Student placement prediction system using machine learning
VK Harihar, DG Bhalke - SAMRIDDHI: A Journal of Physical …, 2020 - smsjournals.com
This paper presents an overview of the machine learning techniques that can be used to
predict a student's placement performance. The ability to predicting the performance of a …
predict a student's placement performance. The ability to predicting the performance of a …