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Adaptive Learning Systems: Exploring Personalized Paths in Vocational Education

Shanguo Zhao, Guangmei Hai, Hongtao Ma

Abstract


This research endeavors to delve into the application of adaptive learning systems within the context of vocational education, with the aim of elevating students academic performance and engagement. Adaptive learning systems represent an educational technology innovation that harnesses the power of artificial intelligence and machine learning to furnish students with personalized learning pathways and real-time feedback. The study encompasses the design and implementation of the system, methods for data collection and processing, as well as data analysis techniques. Through a diverse array of data analyses, we scrutinize the impact of adaptive learning systems on students academic achievements and levels of engagement. The research outcomes elucidate the latent affirmative effects of adaptive learning systems in vocational education, endowing students with a more flexible and personalized learning experience.

Keywords


Adaptive Learning Systems; Vocational Education; Academic Performance; Engagement; Educational Technology

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References


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DOI: http://dx.doi.org/10.18686/cle.v2i2.3803

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