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 …
A systematic mapping review on MOOC recommender systems
Online learning environments (OLE) including learning management systems (LMS) and
massive open online courses (MOOCs) are gaining popularity as the best modern alternate …
massive open online courses (MOOCs) are gaining popularity as the best modern alternate …
A literature review of implemented recommendation techniques used in massive open online courses
Abstract Massive Open Online Courses (MOOCs) are receiving attention from learners
because MOOCs enable them to satisfy their learning needs through an open, participatory …
because MOOCs enable them to satisfy their learning needs through an open, participatory …
Recommender systems for MOOCs: A systematic literature survey (January 1, 2012–July 12, 2019)
In recent years, massive open online courses (MOOCs) have gained popularity with learners
and providers, and thus MOOC providers have started to further enhance the use of MOOCs …
and providers, and thus MOOC providers have started to further enhance the use of MOOCs …
Multi-knowledge enhanced graph convolution for learning resource recommendation
Y Dong, Y Liu, Y Dong, Y Wang, M Chen - Knowledge-Based Systems, 2024 - Elsevier
In recent years, E-learning has gained immense popularity as a prominent mode of
education. However, accurately recommending learning resources from a vast amount of …
education. However, accurately recommending learning resources from a vast amount of …
The Implementation of Deep Reinforcement Learning in E‐Learning and Distance Learning: Remote Practical Work
The world has seen major developments in the field of e‐learning and distance learning,
especially during the COVID‐19 crisis, which revealed the importance of these two types of …
especially during the COVID‐19 crisis, which revealed the importance of these two types of …
An individual adaptive ubiquitous learning paradigm: Focusing on the collection and utilization of academic emotions
At present, ubiquitous learning has been becoming an important learning style for college
students. However, the current studies on ubiquitous learning mostly focus on aspects such …
students. However, the current studies on ubiquitous learning mostly focus on aspects such …
A Reinforcement Learning Review: Past Acts, Present Facts and Future Prospects
B Kommey, OJ Isaac, E Tamakloe… - IT Journal Research and …, 2024 - journal.uir.ac.id
Reinforcement Learning (RL) is fast gaining traction as a major branch of machine learning,
its applications have expanded well beyond its typical usage in games. Several subfields of …
its applications have expanded well beyond its typical usage in games. Several subfields of …
[PDF][PDF] A review on e-learning: perspectives and challenges
E-learning has been receiving increasing attention in recent years. Many educational
organizations have implemented Technology Enhanced Learning Environments (TELE) to …
organizations have implemented Technology Enhanced Learning Environments (TELE) to …
[PDF][PDF] A systematic literature review on the implications of educational recommender system in teaching learning environment
N Pal, O Dahiya - International Journal of Engineering Trends and …, 2023 - researchgate.net
The education sector has drastically changed from offline to online mode in the past few
years. Educational data mining, learning analytics, and machine learning are the fields that …
years. Educational data mining, learning analytics, and machine learning are the fields that …