Recommendation systems for education: Systematic review

MC Urdaneta-Ponte, A Mendez-Zorrilla… - Electronics, 2021 - mdpi.com
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 …

State-of-the-art survey on deep learning-based recommender systems for e-learning

L Salau, M Hamada, R Prasad, M Hassan… - Applied Sciences, 2022 - mdpi.com
Recommender systems (RSs) are increasingly recognized as intelligent software for
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

M Tavakoli, A Faraji, J Vrolijk, M Molavi, ST Mol… - Advanced Engineering …, 2022 - Elsevier
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 …

The well‐being and mental health of doctoral candidates

G Kismihók, D McCashin, ST Mol… - European Journal of …, 2022 - Wiley Online Library
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 …

EduCOR: An educational and career-oriented recommendation ontology

E Ilkou, H Abu-Rasheed, M Tavakoli, S Hakimov… - International Semantic …, 2021 - Springer
With the increased dependence on online learning platforms and educational resource
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

MC Urdaneta-Ponte, I Oleagordia-Ruiz… - Electronics, 2022 - mdpi.com
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 …

Extracting topics from open educational resources

M Molavi, M Tavakoli, G Kismihók - Addressing Global Challenges and …, 2020 - Springer
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 …

Data science for job market analysis: A survey on applications and techniques

I Rahhal, I Kassou, M Ghogho - Expert Systems with Applications, 2024 - Elsevier
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 …

OER recommendations to support career development

M Tavakoli, A Faraji, ST Mol… - 2020 IEEE Frontiers in …, 2020 - ieeexplore.ieee.org
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 …

Text mining on job advertisement data: Systematic process for detecting artificialintelligence related jobs

A Bäck, A Hajikhani, A Suominen - AI+ Informetrics, 2021 - researchportal.tuni.fi
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 …