The fields of Machine Learning and Artificial Intelligence (ML/AI) have seen unprecedented growth in recent years, and this rapid expansion of technology has provided ample opportunities to reform and revolutionize a myriad of fields. This paper will specifically entail the discussions of the reforms and revolutions caused by ML and AI in education, primarily by reviewing existing literature on the matter. Notably, the other focus of this research publication will be centralized upon current platforms and systems that take advantage of these developments. The impact of AI is refined by accompaniment with technologies like Natural Language Processing (NLP), which allows for increased approachability for students, and this is capitalized on by state-of-the-art digital learning platforms. This research publication will look into the new development of cognitive sciences that is an interdisciplinary combination of AI, psychology and education, effectiveness of applying AI interventions for special-ed students, limitations associated with neuroimaging and education, alongside future predictions of policies and historical advancement that will bolster the educational progress of youth.
Building similarity graph...
Analyzing shared references across papers
Loading...
Saadia Farooq (Sat,) studied this question.
www.synapsesocial.com/papers/68af659bad7bf08b1eae56c2 — DOI: https://doi.org/10.47611/jsrhs.v13i4.8138
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
Saadia Farooq
Journal of Student Research
Building similarity graph...
Analyzing shared references across papers
Loading...