[图书][B] Recommender systems for learning
Technology enhanced learning (TEL) aims to design, develop and test sociotechnical
innovations that will support and enhance learning practices of both individuals and …
innovations that will support and enhance learning practices of both individuals and …
Personalized recommender system for e-Learning environment
Traditional e-Learning environments are based on static contents considering that all
learners are similar, so they are not able to respond to each learner's needs. These systems …
learners are similar, so they are not able to respond to each learner's needs. These systems …
Practical guidelines for designing and evaluating educationally oriented recommendations
OC Santos, JG Boticario - Computers & Education, 2015 - Elsevier
There is a need for designing educationally oriented recommendations that deal with
educational goals as well as learners' preferences and context in a personalised way. They …
educational goals as well as learners' preferences and context in a personalised way. They …
A hybrid trust-based recommender system for online communities of practice
The needs for life-long learning and the rapid development of information technologies
promote the development of various types of online Community of Practices (CoPs). In …
promote the development of various types of online Community of Practices (CoPs). In …
Learning with intelligent tutors and worked examples: selecting learning activities adaptively leads to better learning outcomes than a fixed curriculum
The main learning activity provided by intelligent tutoring systems is problem solving,
although several recent projects investigated the effectiveness of combining problem solving …
although several recent projects investigated the effectiveness of combining problem solving …
Recommendation systems for personalized technology-enhanced learning
From e-commerce to e-learning, recommendation systems have given birth to an important
and thriving research niche and have been deployed in a variety of application areas over …
and thriving research niche and have been deployed in a variety of application areas over …
Using recommender systems to improve proactive modeling
This article investigates using recommender systems within graphical domain-specific
modeling languages (DSMLs). The objective of using recommender systems within a …
modeling languages (DSMLs). The objective of using recommender systems within a …
[PDF][PDF] Predicting Culture and Personality in Online Courses.
Online courses support learners to engage in distance learning. One emerging trend of the
educational community is their personalization. Individual cultural characteristics and …
educational community is their personalization. Individual cultural characteristics and …
Building an online adaptive learning and recommendation platform
In the traditional e-learning environment lack of immediate learning assistance. This online
adaptive learning and recommendation platform (ALR) provide tracking tool for instructors to …
adaptive learning and recommendation platform (ALR) provide tracking tool for instructors to …
[PDF][PDF] Extending computer assisted assessment systems with natural language processing, user modeling and recommendations based on human computer …
I Pascual-Nieto, OC Santos, D Perez-Marin… - … Joint Conference on …, 2011 - Citeseer
Willow is a free-text Adaptive Computer Assisted Assessment system, which supports
natural language processing and user modeling. In this paper we discuss the benefits …
natural language processing and user modeling. In this paper we discuss the benefits …