PACIS 2021 Proceedings


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AI techniques have been used to develop systems that adapt to students’ learning strategies and preferences. While research shows that AI-enabled Adaptive Learning Systems have potential, it remains unclear how the existing systems have been built and developed. The goal of this study is to come up with design principles for AI-enabled adaptive learning systems. In this paper, the first phase of the study is presented, where a systematic literature review of design principles and guidelines for AI-enabled Adaptive Learning Systems was performed. From a set of 224 retrieved articles, 16 papers published in the past five years were analysed. The findings of the paper present 5 design clusters that include a total of 24 design principles. This paper aims to contribute to the application of AI and adaptive learning systems in the field of education, by bringing awareness to the researchers and system designers.



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