Recommender system for predicting student performance

N Thai-Nghe, L Drumond, A Krohn-Grimberghe… - Procedia Computer …, 2010 - Elsevier
Recommender systems are widely used in many areas, especially in e-commerce. Recently,
they are also applied in e-learning tasks such as recommending resources (eg papers …

[PDF][PDF] A review of recommender systems for choosing elective courses

M Maphosa, W Doorsamy, B Paul - International Journal of …, 2020 - academia.edu
In higher education, students face challenges when choosing elective courses in their study
programmes. Most higher education institutions employ advisors to assist with this task …

Student performance prediction model based on supervised machine learning algorithms

AS Hashim, WA Awadh… - IOP conference series …, 2020 - iopscience.iop.org
Higher education institutions aim to forecast student success which is an important research
subject. Forecasting student success can enable teachers to prevent students from dropping …

The research trends in recommender systems for e-learning: A systematic review of SSCI journal articles from 2014 to 2018

J Zhong, H Xie, FL Wang - Asian Association of Open Universities …, 2019 - emerald.com
Purpose A recommendation algorithm is typically applied to speculate on users' preferences
based on their behavioral characteristics. The purpose of this paper is to provide a …

[PDF][PDF] An automated university admission recommender system for secondary school students

S Fong, RP Biuk-Aghai - The 6th international conference on …, 2009 - researchgate.net
University or college admission is a complex decision process that goes beyond simply
matching test scores and admission requirements. Past research has suggested that …

Fifteen years of recommender systems research in higher education: Current trends and future direction

V Maphosa, M Maphosa - Applied Artificial Intelligence, 2023 - Taylor & Francis
Artificial intelligence applications have revolutionized business, industry, and education.
Applications developed for other sectors are being adapted for education. The amount of …

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 …

Personalization in education using recommendation system: an overview

SS Kundu, D Sarkar, P Jana, DK Kole - Computational Intelligence in …, 2021 - Springer
In the modern era, when everyone has access to all the information around the world,
Internet plays the most crucial role in making the process much smoother. It has already …

[PDF][PDF] Use of machine learning techniques for the forecast of student achievement in higher education

ÖF Akmeşe, H Kör, H Erbay - Information Technologies and …, 2021 - researchgate.net
The machine learning method, which is a sub-branch of artificial intelligence and which
makes predictions with mathematical and statistical operations, is used frequently in …

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 …