A machine learning-based recommender system for improving students learning experiences

N Yanes, AM Mostafa, M Ezz, SN Almuayqil - IEEE Access, 2020 - ieeexplore.ieee.org
Outcome-based education (OBE) is a well-proven teaching strategy based upon a
predefined set of expected outcomes. The components of OBE are Program Educational …

Adaptive recommendation system using machine learning algorithms for predicting student's best academic program

M Ezz, A Elshenawy - Education and Information Technologies, 2020 - Springer
Some of the educational organizations have multi-education paths such as engineering and
medicine collages. In such colleges, the behavior of the student in the preparatory year …

Enhanced personalized recommendation system for machine learning public datasets: generalized modeling, simulation, significant results and analysis

S Bhaskaran, R Marappan - International Journal of Information …, 2023 - Springer
Nowadays, e-learning, an intelligent learning system based on the formal teaching
methodology but with some electronic properties or resources, plays a major role for …

[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 …

Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization

A Esteban, A Zafra, C Romero - Knowledge-Based Systems, 2020 - Elsevier
The wide availability of specific courses together with the flexibility of academic plans in
university studies reveal the importance of Recommendation Systems (RSs) in this area …

[HTML][HTML] Review and classification of content recommenders in E-learning environment

J Joy, RVG Pillai - Journal of King Saud University-Computer and …, 2022 - Elsevier
E-learning recommender systems are becoming more popular due to the massive learning
materials available online and the changing pedagogy. A content recommender system in …

Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data

SB Aher, L Lobo - Knowledge-Based Systems, 2013 - Elsevier
Data mining is the process which is used to analyze the large database to find the useful
pattern. Data mining can be used to learn about student's behavior from data collected using …

[HTML][HTML] Hybrid attribute-based recommender system for learning material using genetic algorithm and a multidimensional information model

M Salehi, M Pourzaferani, SA Razavi - Egyptian Informatics Journal, 2013 - Elsevier
In recent years, the explosion of learning materials in the web-based educational systems
has caused difficulty of locating appropriate learning materials to learners. A personalized …

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 …

Evaluating multi-label classifiers and recommender systems in the financial service sector

M Bogaert, J Lootens, D Van den Poel… - European Journal of …, 2019 - Elsevier
The objective of this paper is to evaluate multi-label classification techniques and
recommender systems for cross-sell purposes in the financial services sector. We carried out …