Recommendation systems for education: Systematic review
Recommendation systems have emerged as a response to overload in terms of increased
amounts of information online, which has become a problem for users regarding the time …
amounts of information online, which has become a problem for users regarding the time …
State-of-the-art survey on deep learning-based recommender systems for e-learning
Recommender systems (RSs) are increasingly recognized as intelligent software for
predicting users' opinions on specific items. Various RSs have been developed in different …
predicting users' opinions on specific items. Various RSs have been developed in different …
[HTML][HTML] An AI-based open recommender system for personalized labor market driven education
Attaining those skills that match labor market demand is getting increasingly complicated,
not in the last place in engineering education, as prerequisite knowledge, skills, and abilities …
not in the last place in engineering education, as prerequisite knowledge, skills, and abilities …
The well‐being and mental health of doctoral candidates
After a long period of relative neglect, the mental well‐being and the mental health of
researchers and employees in academia are increasingly entering the limelight. The …
researchers and employees in academia are increasingly entering the limelight. The …
EduCOR: An educational and career-oriented recommendation ontology
With the increased dependence on online learning platforms and educational resource
repositories, a unified representation of digital learning resources becomes essential to …
repositories, a unified representation of digital learning resources becomes essential to …
Using LinkedIn endorsements to reinforce an ontology and machine learning-based recommender system to improve professional Skills
Nowadays, social networks have become highly relevant in the professional field, in terms of
the possibility of sharing profiles, skills and jobs. LinkedIn has become the social network …
the possibility of sharing profiles, skills and jobs. LinkedIn has become the social network …
Extracting topics from open educational resources
OERs have high-potential to satisfy learners in many different circumstances, as they are
available in a wide range of contexts. However, the low-quality of OER metadata, in general …
available in a wide range of contexts. However, the low-quality of OER metadata, in general …
Data science for job market analysis: A survey on applications and techniques
The job market is evolving continuously due to changes in economic landscapes,
technological improvements, and skill requirements. In the era of digitalization, a wealth of …
technological improvements, and skill requirements. In the era of digitalization, a wealth of …
OER recommendations to support career development
This Work in Progress Research paper departs from the recent, turbulent changes in global
societies, forcing many citizens to re-skill themselves to (re) gain employment. Learners …
societies, forcing many citizens to re-skill themselves to (re) gain employment. Learners …
Text mining on job advertisement data: Systematic process for detecting artificialintelligence related jobs
The use of online job advertisement has made them an important source of quantitative
information about the innovation system. This data offers significant opportunities to study …
information about the innovation system. This data offers significant opportunities to study …