Nov 22, 2013 · Firstly, we propose a profile merging scheme for the ULP by utilizing learning styles, knowledge levels and ratings of learners in a group.
The major challenge in group recommendation is how to merge the individual preferences of different learners that form a group and extract a pseudo unified ...
The major challenge in group recommendation is how to merge the individual preferences of different learners that form a group and extract a pseudo unified ...
The major challenge in group recommendation is how to merge the individual preferences of different learners that form a group and extract a pseudo unified ...
e-Learning recommender system for a group of learners based on the unified learner profile approach. 作者：Dwivedi Pragya*; Bharadwaj Kamal K. 来源：Expert ...
People also ask
What is a recommender system in e learning environments?
Main techniques in E-learning recommender systems. Recommendation techniques are extensively studied and mainly classified into three categories: content-based, collaborative filtering (CF)-based, and knowledge-based. The three categories all have their own characteristics and suitable application scenarios.
What is recommender system and other kinds of learning?
Recommendation systems widely adopt AI techniques such as machine learning, deep learning, and natural language processing. These advanced methods enhance system capabilities to predict user preferences and deliver personalized content more accurately. Each technique contributes uniquely.
What are recommender systems in higher education?
Recommender systems have been utilized to personalize course content and assist identifying learning activities, they have not been widely applied to other areas in higher education for predicting in advance those individuals that may be at risk of failing courses.
The proposed framework utilizes the intra and extra semantic relationships between LOs and the learner's needs to provide personalized recommendations. The ...
The proposed approach is isolated into two stages: pre-processing and prediction. In the first phase, the procedure starts via looking through the URLs of ...
Missing: unified | Show results with:unified
Mar 31, 2013 · This work analyzes the desiderata of group recommendations for learners and proposes an effective group recommendation procedure that ...
In this paper we describe a new adaptive learning system-LearnFitII, which can automatically adapt to the dynamic preferences of learners.
This research proposes a novel framework named Enhanced e-Learning Hybrid Recommender System (ELHRS) that provides an appropriate e-content with the highest ...