Design and assessment of AI-based learning tools in higher education: a systematic review

National University of Singapore · The University of Sydney · +1 more institution

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Abstract

Artificial intelligence (AI)-based learning tools are increasingly integrated in higher education, offering benefits such as personalized learning experiences, real-time feedback, and increased flexibility. However, effective design and implementation strategies for these tools are not well established. This study addresses this gap through a systematic literature review with two main objectives: (1) to summarize the design features of AI-based learning tools currently employed in higher education, focusing on aspects such as algorithm types, training datasets, modes of information presentation, and their roles in the learning process; and (2) to assess their impacts on college students’ cognitive,…

Citation impact

53
total citations
FWCI
69.26
Percentile
100%
References
138
Citations per year

Authors

4

Topics & keywords

Keywords
  • Higher education
  • Systematic review
  • Computer science
  • Mathematics education
  • Artificial intelligence
  • Psychology
  • Political science
  • MEDLINE
UN Sustainable Development Goals
  • Quality Education
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