AI-based personalized e-learning systems: Issues, challenges, and solutions
A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …
compared to a conventional e-learning system, which provides similar contents to each …
Artificial intelligence and machine learning approaches in digital education: A systematic revision
The use of artificial intelligence and machine learning techniques across all disciplines has
exploded in the past few years, with the ever-growing size of data and the changing needs …
exploded in the past few years, with the ever-growing size of data and the changing needs …
Multi-stage optimized machine learning framework for network intrusion detection
Cyber-security garnered significant attention due to the increased dependency of individuals
and organizations on the Internet and their concern about the security and privacy of their …
and organizations on the Internet and their concern about the security and privacy of their …
Towards intelligent E-learning systems
M Liu, D Yu - Education and Information Technologies, 2023 - Springer
The prevalence of e-learning systems has made educational resources more accessible,
interactive and effective to learners without the geographic and temporal boundaries …
interactive and effective to learners without the geographic and temporal boundaries …
Machine learning towards intelligent systems: applications, challenges, and opportunities
The emergence and continued reliance on the Internet and related technologies has
resulted in the generation of large amounts of data that can be made available for analyses …
resulted in the generation of large amounts of data that can be made available for analyses …
Student engagement level in an e-learning environment: Clustering using k-means
ABSTRACT E-learning platforms and processes face several challenges, among which is
the idea of personalizing the e-learning experience and to keep students motivated and …
the idea of personalizing the e-learning experience and to keep students motivated and …
A systematic literature review on educational recommender systems for teaching and learning: research trends, limitations and opportunities
FL da Silva, BK Slodkowski, KKA da Silva… - Education and …, 2023 - Springer
Recommender systems have become one of the main tools for personalized content filtering
in the educational domain. Those who support teaching and learning activities, particularly …
in the educational domain. Those who support teaching and learning activities, particularly …
Usability research in educational technology: A state-of-the-art systematic review
This paper presents a systematic literature review characterizing the methodological
properties of usability studies conducted on educational and learning technologies in the …
properties of usability studies conducted on educational and learning technologies in the …
Systematic ensemble model selection approach for educational data mining
A plethora of research has been done in the past focusing on predicting student's
performance in order to support their development. Many institutions are focused on …
performance in order to support their development. Many institutions are focused on …
[PDF][PDF] Recommendations to advance the cloud data analytics and chatbots by using machine learning technology
AR Kunduru - International Journal of Engineering and Scientific …, 2023 - academia.edu
The selection of machine learning tools for data analytics might be challenging due to the
ever-growing number of alternatives. The various tools each have benefits and limitations …
ever-growing number of alternatives. The various tools each have benefits and limitations …