The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education
(AIED) offers new scalable, data-intensive systems but raises concerns about data privacy …

Learning analytics can improve learning practice by transforming the ways we support
learning processes. This study is based on the analysis of 252 papers on learning analytics …

The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …

Generative models are now capable of producing natural language text that is, in some
cases, comparable in quality to the text produced by people. In the computing education …

Several challenges are associated with e‐learning systems, the most significant of which is
the lack of student motivation in various course activities and for various course materials. In …

Self-regulated learning (SRL) can predict academic performance. Yet, it is difficult for
learners. The ability to self-regulate learning becomes even more important in emerging …

In a context where learning mediated by technology has gained prominence in higher
education, learning analytics has become a powerful tool to collect and analyse data with …

Learning analytics (LA) as a research field has grown rapidly over the last decade. However,
adoption of LA is mostly found to be small in scale and isolated at the instructor level. This …

The study of learning analytics provides statistical analysis and extract insights from data,
particularly in education. Various studies regarding student engagement in online learning …

The proliferation of mobile devices and the rapid development of information and
communication technologies (ICT) have seen increasingly large volume and variety of data …