[PDF][PDF] Predicting student performance with multi-level representation in an intelligent academic recommender system using backpropagation neural network

D Kurniadi, E Abdurachman, H Warnars… - ICIC Express Lett. Part …, 2021 - researchgate.net
This article aimed to develop a classification model for predicting student academic
performance by representing outputs into various multi-level representations with better …

Application of predictive analytics in intelligent course recommendation

D Upendran, S Chatterjee, S Sindhumol… - Procedia computer …, 2016 - Elsevier
Students who pursue admission to colleges usually experience a difficulty to select a course.
In this paper, we propose a course recommendation system to find out the courses which …

An automated recommender system for educational institute in India

M Garanayak, S Sahoo, S Mohanty… - EAI Endorsed Transactions …, 2020 - eudl.eu
This study aims to suggest a recommender System for undergraduate students who desire
to seek admission into engineering courses in different Indian Institute of Technology (IITs) …

[PDF][PDF] A proposed academic advisor model based on data mining classification techniques

MH Mohamed, HM Waguih - International Journal of Advanced …, 2018 - researchgate.net
University and higher institute admission are an intricate decision process and it is an
important responsibility of the students to select the correct study track. The increase of the …

A machine learning based approach for recommending courses at graduate level

J Britto, S Prabhu, A Gawali… - … Conference on Smart …, 2019 - ieeexplore.ieee.org
Students often face confusion during their academic career regarding the choice of the
courses, hence they need proper guidance for the same. Course recommendation system is …

[PDF][PDF] Educational Data Mining Rule based Recommender Systems.

G Mobasher, A Shawish, O Ibrahim - CSEDU (1), 2017 - pdfs.semanticscholar.org
Educational Data Mining (EDM) is an emerging multidisciplinary research area, in which
data mining techniques are deployed to extract knowledge from educational information …

Developing classifiers through machine learning algorithms for student placement prediction based on academic performance

LS Maurya, MS Hussain, S Singh - Applied Artificial Intelligence, 2021 - Taylor & Francis
In the era of globalization, student placement is very challenging issue for all educational
institutions. For engineering institutions, placement is a key factor to maintain good ranking …

Prediction probability of getting an admission into a university using machine learning

A Sivasangari, V Shivani, Y Bindhu… - 2021 5th …, 2021 - ieeexplore.ieee.org
In the present conditions, students regularly have difficulty finding a fitting institution to
pursue higher studies based on their profile. There are some advisory administrations and …

A course recommendation model for students based on learning outcome

VA Nguyen, HH Nguyen, DL Nguyen, MD Le - Education and Information …, 2021 - Springer
How to choose the most appropriate courses to study throughout the learning process
remains a question interested in by many students. Students often choose suitable courses …

[PDF][PDF] Student future prediction using machine learning

D Chaudhary, H Prajapati, R Rathod… - International Journal of …, 2019 - academia.edu
Selecting an appropriate career is one of the most important decisions and with the increase
in the number of career paths and opportunities, making this decision have become quite …