Literature has shown that learning gains may be improved significantly if students are
offered individual attention. The traditional offering of such individualised attention is …

During computer-based tutoring sessions, Intelligent Tutoring Systems (ITSs) adapt planning
and manage real-time instructional decisions. The link between learner data and enhanced …

This comprehensive literature review seeks to assess the potential of AI-powered tutoring
systems that are able to adapt and provide personalized guidance tailored to individual …

Learner models are built to enable adaptive and personalized instructions to prospective
learners in Adaptive Intelligent Tutoring Systems (AITS). They are created parallel to the …

Actualizing instructional intercessions to suit learner contrasts has gotten extensive
consideration. Among these individual contrast factors, the observational confirmation in …

Abstract Evaluation frameworks for adaptive and intelligent tutoring systems have largely
focused on their prediction power or user experience. However, neither subjective or …

Artificial intelligence (AI) is used to personalise learning experiences for students, adapt to
their individual needs and abilities, and provide real-time feedback on their progress …

Learner Model is the base for providing the adaptivity in the Intelligent Tutoring Systems
(ITS) as learner performance data and information are stored in the learner model. Recently …

Individualized tutoring has long been known as the most effective method of instruction.
Bloom long ago suggested that there is a two-sigma improvement of learning with tutoring …

Learning analytics (LA) has become a key area of study in educology, where it could assist
in customising teaching and learning. Accordingly, it is precisely this data analysis technique …