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Abstract
Contemporary learning environments are gaining traction due to their ability to deliver learning content and adapt to individual student needs. However, few examples of implemented contemporary learning interventions have been identified. Also, updated literature on the new generation of AI-enabled adaptive learning systems is lacking. Therefore, a systematic literature mapping (SLM) on AI-enabled adaptive learning systems was performed, and 122 studies published between 2014 and 2019 were analysed. This paper presents a discussion regarding the SLM’s main findings and challenges, as well as a summary of interventions for AI-enabled contemporary learning systems identified by the SLM. The major contribution of the study is bringing awareness to researchers and system developers on contemporary learning systems and AI techniques. This review will act as a guide for future studies on how to better design AI-enabled adaptive learning systems to solve specific learning problems and improve users’ learning experiences
Recommended Citation
Kabudi, Tumaini; Pappas, Ilias; and Olsen, Dag Håkon, "Systematic Literature Mapping on AI-enabled Contemporary Learning Systems" (2020). AMCIS 2020 Proceedings. 4.
https://aisel.aisnet.org/amcis2020/is_education/is_education/4
Systematic Literature Mapping on AI-enabled Contemporary Learning Systems
Contemporary learning environments are gaining traction due to their ability to deliver learning content and adapt to individual student needs. However, few examples of implemented contemporary learning interventions have been identified. Also, updated literature on the new generation of AI-enabled adaptive learning systems is lacking. Therefore, a systematic literature mapping (SLM) on AI-enabled adaptive learning systems was performed, and 122 studies published between 2014 and 2019 were analysed. This paper presents a discussion regarding the SLM’s main findings and challenges, as well as a summary of interventions for AI-enabled contemporary learning systems identified by the SLM. The major contribution of the study is bringing awareness to researchers and system developers on contemporary learning systems and AI techniques. This review will act as a guide for future studies on how to better design AI-enabled adaptive learning systems to solve specific learning problems and improve users’ learning experiences
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