The state of the art in methodologies of course recommender systems—a review of recent research

DB Guruge, R Kadel, SJ Halder - Data, 2021 - mdpi.com
In recent years, education institutions have offered a wide range of course selections with
overlaps. This presents significant challenges to students in selecting successful courses …

Potential future directions in optimization of students' performance prediction system

S Ahmad, MA El-Affendi, MS Anwar… - Computational …, 2022 - Wiley Online Library
Previous studies widely report the optimization of performance predictions to highlight at‐
risk students and advance the achievement of excellent students. They also have …

[HTML][HTML] Domain-specific NLP system to support learning path and curriculum design at tech universities

NNY Vo, QT Vu, NH Vu, TA Vu, BD Mach… - Computers and Education …, 2022 - Elsevier
The tech sector has been growing at a rapid speed, demanding a higher level of expertise
from its labor force. New skills and programming languages are introduced and required by …

Development Of Undergraduate Students Course Recommender System

AY Saleh, MC Julian - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Recommender systems can be utilized to their full potential by suggesting to users the
information they need, tailored to their interests and personality. However, researchers in the …

Hybrid Recommender System for Personalized Pedagogical Resource Recommendations in E-Learning Platforms.

Y Mediani, M Gharzouli - Ingénierie des Systèmes d' …, 2024 - search.ebscohost.com
Recommender systems are generally used in several domains, like e-commerce sites and
social networks. E-learning systems use recommendation techniques to facilitate and …

Recommending the Rules Related to Course Grades in Education Sector using SKCAAR Algorithm

SM Dol, PM Jawandhiya - 2024 Second International …, 2024 - ieeexplore.ieee.org
In Education Sector, Recommendation System (RS) is used to indicate areas where
students require strengthening their knowledge. This RS is also used to predict students' …

Using AI-Based LinkedIn Video Platform for Personalised Learning: The Case at Infineon Technologies

J Spirgi, J Tronsberg - Artificial Intelligence Education in the Context of …, 2022 - Springer
Due to the need for lifelong learning, microlearning comes into play to facilitate the learning
process in the workplace. To support microlearning, it is necessary to provide activities and …

[PDF][PDF] Equality of learning opportunity in personalized recommendations

M Marras, L Boratto, G Ramos… - arXiv preprint arXiv …, 2020 - researchgate.net
Online educational platforms are promising to play a primary role in mediating the success
of individuals' careers. Hence, while building overlying content recommendation services, it …

[PDF][PDF] The State of the Art in Methodologies of Course Recommender Systems—A Review of Recent Research. Data 2021, 6, 18

DB Guruge, R Kadel, SJ Halder - 2021 - pdfs.semanticscholar.org
In recent years, education institutions have offered a wide range of course selections with
overlaps. This presents significant challenges to students in selecting successful courses …

New Performance Metrics for Offline Content-Based TV Recommender System

L Simões, V Shah, J Silva, N Rodrigues, N Leite… - … on Algorithmic Bias in …, 2021 - Springer
The past decade has seen a fast rise in popularity of recommendation systems provided by
many entertainment and social media services. However, despite the recognised advances …