The recent growing concerns surrounding the pervasive adoption of generative AI can be
traced back to the long-standing influence of AI algorithms that have predominantly served …

Recommender systems (RSs) are increasingly recognized as intelligent software for
predicting users' opinions on specific items. Various RSs have been developed in different …

As instruction shifts away from traditional approaches, online learning has grown in
popularity in K-12 and higher education. Artificial intelligence (AI) and learning analytics …

The extensive pool of content within educational software platforms can often overwhelm
learners, leaving them uncertain about what materials to engage with. In this context …

Affective computing is an emerging area of education research and has the potential to
enhance educational outcomes. Despite the growing number of literature studies, there are …

Today, the economy is undergoing a digital transformation. Its key barriers are a lack of
qualified personnel, competencies and knowledge, as well as internal resistance in …

Students are a gold asset for each country. Proper guidance/recommendation to the
students regarding their education-related issues can ultimately result in uplifting the …

Recommender Systems (RSs) have recently emerged as a practical solution to the
information overload problem users face when searching for digital content. In general, RSs …

Aiming at the problems of low recommendation accuracy and low user interest in the
existing methods, a news recommendation of social media platform based on improved …

In this paper, we analyse how learning is measured and optimized in Educational
Recommender Systems (ERS). In particular, we examine the target metrics and evaluation …