This paper reviews the literature on integrating AI in e-learning, from the viewpoint of
cognitive neuropsychology, for Personalized Learning (PL) and Adaptive Assessment (AA) …

Adaptive learning systems have been on the rise ever since the beginnings of e-learning.
Their ability to provide instructions, guidance and content tailored towards learners' …

While adaptive learning is emerging as a promising technology to promote access and
quality at a large scale in higher education (Becker et al., 2018), the implementation of …

In the vital context of education, the application of artificial intelligence (AI) to assessments
necessitates a nuanced examination of the boundaries between ethically permissible and …

With the increase in Technology Enhanced Learning (TEL), the effective retrieval and
availability of Learning Objects (LOs) for course designers is a significant concern. Text …

The creation and development of adaptive learning systems involve various stakeholders in
the overall development process. To understand how the involvement of these stakeholders …

One of the challenges in e‐learning is the customization of the learning environment to
avoid learners' failures. This paper proposes a Stacked Generalization for Failure Prediction …

Peer review has been recognised as a beneficial approach that promotes higher-order
learning and provides students with fast and detailed feedback on their work. Still, there are …

Learnersourcing is emerging as a viable learner-centred and pedagogically justified
approach for harnessing the creativity and evaluation power of learners as experts-in …

This study explores teachers' perceptions, strategies, and experiences integrating adaptive
learning (AL) in gifted education. The results revealed that teachers regard AL as a valuable …