Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data
Data mining is the process which is used to analyze the large database to find the useful
pattern. Data mining can be used to learn about student's behavior from data collected using …
pattern. Data mining can be used to learn about student's behavior from data collected using …
A course recommendation system based on grades
The online courses are playing a crucial role in developing new skills in learners and in the
education system. Now a days a massive number of online courses and certifications are …
education system. Now a days a massive number of online courses and certifications are …
Enhanced personalized recommendation system for machine learning public datasets: generalized modeling, simulation, significant results and analysis
S Bhaskaran, R Marappan - International Journal of Information …, 2023 - Springer
Nowadays, e-learning, an intelligent learning system based on the formal teaching
methodology but with some electronic properties or resources, plays a major role for …
methodology but with some electronic properties or resources, plays a major role for …
Adaptive recommendation system using machine learning algorithms for predicting student's best academic program
M Ezz, A Elshenawy - Education and Information Technologies, 2020 - Springer
Some of the educational organizations have multi-education paths such as engineering and
medicine collages. In such colleges, the behavior of the student in the preparatory year …
medicine collages. In such colleges, the behavior of the student in the preparatory year …
Pcrs: Personalized course recommender system based on hybrid approach
The traditional system of selecting courses to carry out research work is time consuming,
risky and a tedious task, that not only badly affect the performance but the learning …
risky and a tedious task, that not only badly affect the performance but the learning …
[PDF][PDF] Recommender Systems in E-learning
In this era when every aspect of society is accelerating, people are always seeking
improvement to stay competitive in their careers. E-learning systems fit into the ever …
improvement to stay competitive in their careers. E-learning systems fit into the ever …
A recommender model in e-learning environment
O Bourkoukou, E El Bachari, M El Adnani - Arabian Journal for Science …, 2017 - Springer
Various researches in E-learning mainly focused on improving learner achievements based
on learner profile. Explosive growth of distance learning has caused difficulty of locating …
on learner profile. Explosive growth of distance learning has caused difficulty of locating …
Large-scale e-learning recommender system based on Spark and Hadoop
The present work is a part of the ESTenLigne project which is the result of several years of
experience for developing e-learning in Sidi Mohamed Ben Abdellah University through the …
experience for developing e-learning in Sidi Mohamed Ben Abdellah University through the …
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 …
A personalized recommendation system with combinational algorithm for online learning
J Xiao, M Wang, B Jiang, J Li - Journal of ambient intelligence and …, 2018 - Springer
With the fast development of online and mobile technologies, individualized or personalized
learning is becoming increasingly important. Online courses especially Massive Open …
learning is becoming increasingly important. Online courses especially Massive Open …