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Panorama of recommender systems to support learning
This chapter presents an analysis of recommender systems in Technology-Enhanced
Learning along their 15 years existence (2000–2014). All recommender systems considered …
Learning along their 15 years existence (2000–2014). All recommender systems considered …
Recommender system in academic choices of higher education: a systematic review
Recommender systems have gained significant attention as powerful tools for supporting
decision-making processes in various domains. However, the understanding of their impact …
decision-making processes in various domains. However, the understanding of their impact …
Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions
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 …
Applying data mining techniques to e-learning problems
This chapter aims to provide an up-to-date snapshot of the current state of research and
applications of Data Mining methods in e-learning. The cross-fertilization of both areas is still …
applications of Data Mining methods in e-learning. The cross-fertilization of both areas is still …
Personalized and explainable employee training course recommendations: A bayesian variational approach
As a major component of strategic talent management, learning and development (L&D)
aims at improving the individual and organization performances through planning tailored …
aims at improving the individual and organization performances through planning tailored …
Personalized employee training course recommendation with career development awareness
As a major component of strategic talent management, learning and development (L&D)
aims at improving the individual and organization performances through planning tailored …
aims at improving the individual and organization performances through planning tailored …
Towards AI-powered data-driven education
Educational platforms are increasingly becoming AI-driven. Besides providing a wide range
of course filtering options, personalized recommendations of learning material and teachers …
of course filtering options, personalized recommendations of learning material and teachers …
[PDF][PDF] The state of the art on educational data mining in higher education
Educational data mining (EDM) is a broader term that focuses on analyzing, exploring,
predicting, clustering, and classification of data in educational institutions. EDM grows faster …
predicting, clustering, and classification of data in educational institutions. EDM grows faster …
Evaluation of e-learning systems based on fuzzy clustering models and statistical tools
This paper introduces a hybridization approach of AI techniques and statistical tools to
evaluate and adapt the e-learning systems including e-learners. Learner's profile plays a …
evaluate and adapt the e-learning systems including e-learners. Learner's profile plays a …
Attention-based CNN for personalized course recommendations for MOOC learners
Massive Open Online Courses (MOOCs), which are open for anyone without limitations on
time or location, have attracted millions of registered online students. The large number of …
time or location, have attracted millions of registered online students. The large number of …