  Artificial Intelligence (AI) plays varying roles in supporting both existing
and emerging technologies. In the area of Learning and Tutoring, it plays key
role in Intelligent Tutoring Systems (ITS). The fusion of ITS with Adaptive
Hypermedia and Multimedia (AHAM) form the backbone of Adaptive eLearning
Systems (AES) which provides personalized experiences to learners. This
experience is important because it facilitates the accurate delivery of the
learning modules in specific to the learner capacity and readiness. AES types
vary, with Adaptive Web Based eLearning Systems (AWBES) being the popular type
because of wider access offered by the web technology.The retrieval and
aggregation of contents for any eLearning system is critical whichis determined
by the relevance of learning material to the needs of the learner.In this
paper, we discuss components of AES, role of AI in AES content aggregation,
possible risks and available opportunities.
