Challenges in the online component of blended learning: A systematic review

RA Rasheed, A Kamsin, NA Abdullah - Computers & education, 2020 - Elsevier
Blended learning is widely regarded as an approach that combines the benefits afforded by
face-to-face and online learning components. However, this approach of combining online …

A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020

NS Raj, VG Renumol - Journal of Computers in Education, 2022 - Springer
In personalized learning, each student gets a customized learning plan according to their
pace of learning, instructional preferences, learning objects, etc. Hence the content …

A systematic review: machine learning based recommendation systems for e-learning

SS Khanal, PWC Prasad, A Alsadoon… - Education and Information …, 2020 - Springer
The constantly growing offering of online learning materials to students is making it more
difficult to locate specific information from data pools. Personalization systems attempt to …

AI-based personalized e-learning systems: Issues, challenges, and solutions

M Murtaza, Y Ahmed, JA Shamsi, F Sherwani… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

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 …

Aisar: Artificial intelligence-based student assessment and recommendation system for e-learning in big data

W Bagunaid, N Chilamkurti, P Veeraraghavan - Sustainability, 2022 - mdpi.com
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 …

[HTML][HTML] Review and classification of content recommenders in E-learning environment

J Joy, RVG Pillai - Journal of King Saud University-Computer and …, 2022 - Elsevier
E-learning recommender systems are becoming more popular due to the massive learning
materials available online and the changing pedagogy. A content recommender system in …

[HTML][HTML] Learning from patient safety incidents in the emergency department: a systematic review

S Amaniyan, BO Faldaas, PA Logan… - The Journal of …, 2020 - Elsevier
Background Patient safety incidents are commonly observed in critical and high demanding
care settings, including the emergency department. There is a need to understand what …

Underlying the triple burden effects on women educationists due to COVID-19

P Dogra, A Kaushal - Education and Information Technologies, 2022 - Springer
COVID-19 causes a pandemic situation that increased the paid or unpaid responsibilities
(home and job) on women and brought significant changes in their lifestyle, resulting in …

Evaluating embeddings from pre-trained language models and knowledge graphs for educational content recommendation

X Li, A Henriksson, M Duneld, J Nouri, Y Wu - Future Internet, 2023 - mdpi.com
Educational content recommendation is a cornerstone of AI-enhanced learning. In particular,
to facilitate navigating the diverse learning resources available on learning platforms …