Recommender system for predicting student performance
Recommender systems are widely used in many areas, especially in e-commerce. Recently,
they are also applied in e-learning tasks such as recommending resources (eg papers …
they are also applied in e-learning tasks such as recommending resources (eg papers …
Factorization techniques for predicting student performance
Recommender systems are widely used in many areas, especially in e-commerce. Recently,
they are also applied in e-learning for recommending learning objects (eg papers) to …
they are also applied in e-learning for recommending learning objects (eg papers) to …
[PDF][PDF] An automated recommender system for course selection
A Al-Badarenah, J Alsakran - International Journal of Advanced …, 2016 - researchgate.net
Most of electronic commerce and knowledge managementsystems use recommender
systems as the underling tools for identifying a set of items that will be of interest to a certain …
systems as the underling tools for identifying a set of items that will be of interest to a certain …
[PDF][PDF] Collaborative filtering applied to educational data mining
A Toscher, M Jahrer - KDD cup, 2010 - pslcdatashop.web.cmu.edu
We present our overall third ranking solution for the KDD Cup 2010 on educational data
mining. The goal of the competition was to predict a student's ability to answer questions …
mining. The goal of the competition was to predict a student's ability to answer questions …
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 …
An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering
Nowadays we find more and more applications for data mining techniques in e-learning and
web-based adaptive educational systems. The useful information discovered can be used …
web-based adaptive educational systems. The useful information discovered can be used …
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 …
Creating a recommender system to support higher education students in the subject enrollment decision
AJ Fernández-García, R Rodríguez-Echeverría… - IEEE …, 2020 - ieeexplore.ieee.org
Higher Education plays a principal role in the changing and complex world of today, and
there has been rapid growth in the scientific literature dedicated to predicting students' …
there has been rapid growth in the scientific literature dedicated to predicting students' …
Machine learning-based book recommender system: a survey and new perspectives
The exponential growth of recommender systems research has drawn the attention of the
scientific community recently. These systems are very useful in reducing information …
scientific community recently. These systems are very useful in reducing information …
Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions
A Klašnja-Milićević, M Ivanović… - Artificial Intelligence …, 2015 - Springer
With the development of sophisticated e-learning environments, personalization is
becoming an important feature in e-learning systems due to the differences in background …
becoming an important feature in e-learning systems due to the differences in background …