[HTML][HTML] E-learning course recommender system using collaborative filtering models

KK Jena, SK Bhoi, TK Malik, KS Sahoo, NZ Jhanjhi… - Electronics, 2022 - mdpi.com
e-Learning is a sought-after option for learners during pandemic situations. In e-Learning
platforms, there are many courses available, and the user needs to select the best option for …

[HTML][HTML] Agent-based recommendation in E-learning environment using knowledge discovery and machine learning approaches

Z Shahbazi, YC Byun - Mathematics, 2022 - mdpi.com
E-learning is a popular area in terms of learning from social media websites in various terms
and contents for every group of people in this world with different knowledge backgrounds …

[HTML][HTML] Recommender systems in education: A literature review and bibliometric analysis

G Lampropoulos - Advances in Mobile Learning Educational Research, 2023 - syncsci.com
This study aims to provide an overview regarding the use of recommender systems in
education through a systematic review and a bibliometric analysis. The Preferred Reporting …

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects

Z Xiong, H Li, Z Liu, Z Chen, H Zhou, W Rong… - arXiv preprint arXiv …, 2024 - arxiv.org
Personalized education, tailored to individual student needs, leverages educational
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …

Semantics-aware context-based learner modelling using normalized PSO for personalized E-learning

H Ezaldeen, SK Bisoy, R Misra… - Journal of web …, 2022 - ieeexplore.ieee.org
E-learning proves its importance in the diverse educational levels over traditional education.
An adaptive e-learning system needs to deduce the learner model for adding …

[HTML][HTML] Learning analytics and computerized formative assessments: An application of Dijkstra's shortest path algorithm for personalized test scheduling

O Bulut, J Shin, DC Cormier - Mathematics, 2022 - mdpi.com
The use of computerized formative assessments in K–12 classrooms has yielded valuable
data that can be utilized by learning analytics (LA) systems to produce actionable insights for …

Teaching the future: the vision of AI/ChatGPT in education

MR Bahrami, B Bahrami, F Behboodi… - … Symposium on Agent and …, 2023 - Springer
This article highlights the importance of teaching future technologies in education. With rapid
technological advancements, it is crucial for students to be familiar with the skills and …

Interactive methods for improving musical literacy among students with preschool education Majors at Teacher Training Universities: The effectiveness of the Kodály …

Y Li - Education and Information Technologies, 2023 - Springer
The system of music education is directly attributed to arrangements that improve theoretical
and working knowledge. Purpose of the article: the features of interactive methods that …

[PDF][PDF] A cluster validity for optimal configuration of Kohonen maps in e-learning recommendation

J Mawane, A Naji, M Ramdani - Indones. J. Electr. Eng. Comput …, 2022 - researchgate.net
This paper reviews the first block of our unsupervised deep collaborative recommendation
(UDCF) system and proposes a platform whose goal is to try to find the adequate …

[Retracted] IoT Applications for Recommended Methods of Physical Education Online Course Resources Based on Collaborative Filtering Technology

Z Zheng - Wireless Communications and Mobile Computing, 2022 - Wiley Online Library
Educational resources are available in different repositories and on the web. For example,
these resources are in the form of courses, tutorials, simulations, tests, etc., and are …