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      The Role of Artificial Intelligence (AI) in Adaptive eLearning System (AES) Content Formation: Risks and Opportunities involved

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          Abstract

          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.

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          Data mining for providing a personalized learning path in creativity: An application of decision trees

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            An overview of adaptive e-learning systems

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              Author and article information

              Journal
              03 March 2019
              Article
              1903.00934
              ac6e64c1-6484-4d52-89ac-516446ab049f

              http://creativecommons.org/licenses/by/4.0/

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              cs.AI

              Artificial intelligence
              Artificial intelligence

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