[HTML][HTML] Leveraging AI in e-learning: Personalized learning and adaptive assessment through cognitive neuropsychology—A systematic analysis
C Halkiopoulos, E Gkintoni - Electronics, 2024 - mdpi.com
This paper reviews the literature on integrating AI in e-learning, from the viewpoint of
cognitive neuropsychology, for Personalized Learning (PL) and Adaptive Assessment (AA) …
cognitive neuropsychology, for Personalized Learning (PL) and Adaptive Assessment (AA) …
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 …
Integrating artificial intelligence in human resource management: A smartpls approach for entrepreneurial success
The primary focus of this research is to examine the pivotal role of Artificial Intelligence (AI)
in driving business transformation, with a specific emphasis on its impact within the realm of …
in driving business transformation, with a specific emphasis on its impact within the realm of …
E-learning course recommender system using collaborative filtering models
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 …
platforms, there are many courses available, and the user needs to select the best option for …
Aisar: Artificial intelligence-based student assessment and recommendation system for e-learning in big data
Educational systems have advanced with the use of electronic learning (e-learning), which
is a promising solution for long-distance learners. Students who engage in e-learning can …
is a promising solution for long-distance learners. Students who engage in e-learning can …
A review of deep learning-based recommender system in e-learning environments
T Liu, Q Wu, L Chang, T Gu - Artificial Intelligence Review, 2022 - Springer
While the recent emergence of a large number of online course resources has made life
more convenient for many people, it has also caused information overload. According to a …
more convenient for many people, it has also caused information overload. According to a …
E-Learning Modeling Technique and Convolution Neural Networks in Online Education
Higher educational systems are accountable for ensuring effective E-learning (EL)
environments for online learners. An effective learning environment engages learners in …
environments for online learners. An effective learning environment engages learners in …
[HTML][HTML] A systematic map** review of context-aware analysis and its approach to mobile learning and ubiquitous learning processes
In the last ten years, it was observed that the continuous upgrades in mobile device's
technology have increased and demonstrated their great potential in various learning …
technology have increased and demonstrated their great potential in various learning …
Investigation of emerging trends in the e-learning field using latent dirichlet allocation
E-learning studies are becoming very important today as they provide alternatives and
support to all types of teaching and learning programs. The effect of the COVID-19 pandemic …
support to all types of teaching and learning programs. The effect of the COVID-19 pandemic …
Educational data mining to support programming learning using problem-solving data
Computer programming has attracted a lot of attention in the development of information and
communication technologies in the real world. Meeting the growing demand for highly …
communication technologies in the real world. Meeting the growing demand for highly …