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Computers and Education Artificial Intelligence· 2021Q1· Review

AI technologies for education: Recent research & future directions

Ke Zhang, Ayşe Aslan

Short summary

A review of 40 empirical studies (1993-2020) on AI in education (AIEd) reveals current trends, benefits, and applications, highlighting the need for ethical considerations and interdisciplinary collaboration.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Analyzed 40 empirical AIEd studies from 1993-2020.
  • Identified current AIEd technologies, applications, and their benefits.
  • Bridged AI technological advancements with educational applications.
  • Highlighted practical implications and future research directions.
  • Stressed the importance of AI ethics, privacy, and interdisciplinary collaboration.

AI-generated from the title and abstract; the full text is not read.

Abstract

From unique educational perspectives, this article reports a comprehensive review of selected empirical studies on artificial intelligence in education (AIEd) published in 1993–2020, as collected in the Web of Sciences database and selected AIEd-specialized journals. A total of 40 empirical studies met all selection criteria, and were fully reviewed using multiple methods, including selected bibliometrics, content analysis and categorical meta-trends analysis. This article reports the current state of AIEd research, highlights selected AIEd technologies and applications, reviews their proven and potential benefits for education, bridges the gaps between AI technological innovations and their educational applications, and generates practical examples and inspirations for both technological experts that create AIEd technologies and educators who spearhead AI innovations in education. It also provides rich discussions on practical implications and future research directions from multiple perspectives. The advancement of AIEd calls for critical initiatives to address AI ethics and privacy concerns, and requires interdisciplinary and transdisciplinary collaborations in large-scaled, longitudinal research and development efforts.

The authors' abstract, as published at the source. Computers and Education Artificial Intelligence, 2021 · DOI ↗

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Field: Computer Science Applications

Computer Science ApplicationsComputer Science