AI-Based Adaptive Learning – State of the Art
In recent decades, the area of education has seen numerous transformations, owing to the rapid advancement of Information and communication technologies (ICTs), the democratization of the internet, the rise of web technologies, and, most recently, the rapid advancement of artificial intelligence (AI) techniques, especially those who fall under the banner of the AI-subset entitled Machine learning. In this respect, the goal of this paper is to present a state of the art about AI applications in education while highlighting the most requested artificial intelligence in education (AIEd) approach called adaptive learning. This approach that has created a new opportunities in terms of adapting the different elements of the learning process (content, pedagogy, learning path, presentation etc.) to the needs of the learner (learning style, level, prior knowledge, preference, performance etc.), through the potential of AI represented by different systems and applications, in order to increase learning outcomes. In this present paper, we will also show real-case AI-based adaptive learning system implementations and explore their objectives, mechanisms, factors employed during adaptation, AI algorithms adopted and impact on learning. This study will provide insight into the topic of adaptive learning through a frame of reference and descriptive analysis, which can be used as a springboard for further investigation.Categorised in:
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