The state of the art in methodologies of course recommender systems—a review of recent research
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 …
overlaps. This presents significant challenges to students in selecting successful courses …
Potential future directions in optimization of students' performance prediction system
Previous studies widely report the optimization of performance predictions to highlight at‐
risk students and advance the achievement of excellent students. They also have …
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
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 …
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 …
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 …
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' …
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 …
process in the workplace. To support microlearning, it is necessary to provide activities and …
[PDF][PDF] Equality of learning opportunity in personalized recommendations
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 …
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
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 …
overlaps. This presents significant challenges to students in selecting successful courses …
New Performance Metrics for Offline Content-Based TV Recommender System
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 …
many entertainment and social media services. However, despite the recognised advances …