reviewIEEE Transactions on Learning TechnologiesSep 12, 2023Closed access

Data-Driven Artificial Intelligence in Education: A Comprehensive Review

Munster Technological University · Queen Mary University of London · +5 more institutions

Indexed incrossref

Abstract

As education constitutes an essential development standard for individuals and societies, researchers have been exploring the use of artificial intelligence (AI) in this domain and have embedded the technology within it through a myriad of applications. In order to provide a detailed overview of the efforts, this article pays particular attention to these developments by highlighting key application areas of data-driven AI in education; it also analyzes existing tools, research trends, as well as limitations of the role data-driven AI can play in education. In particular, this article reviews various applications of AI in education including student grading and assessments, student retention and drop-out…

Citation impact

220
total citations
FWCI
57.85
Percentile
100%
References
155
Citations per year

Authors

7

Topics & keywords

Keywords
  • Computer science
  • Salient
  • Grading (engineering)
  • Data science
  • Domain (mathematical analysis)
  • Artificial intelligence
  • Engineering
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