Bridging the Algorithmic Divide

The urgency for artificial intelligence (AI) literacy has been highlighted by the 2024 Nobel Prizes in Physics and Chemistry, awarded for groundbreaking AI research. Despite AI’s transformative potential in higher education, a digital divide persists between faculty and students, with educators often lagging behind in AI adoption. This commentary addresses the critical need to enhance AI literacy among faculty, examines the barriers to AI adoption, and emphasises the evolving role of students as contributors to faculty development. The commentary outlines future research and development directions, including interdisciplinary studies, ethical frameworks, and international collaboration, to foster an inclusive and effective AI-integrated educational environment. Through these efforts, higher education can cultivate a technologically adept and ethically informed academic community, prepared to leverage AI for scientific discovery and innovation.

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Publication Details

Journal
Education as Change
Published
2024-12-11
DOI
https://doi.org/10.25159/1947-9417/17983
Citations
11
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.32

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article

Bridging the Algorithmic Divide

Siyuan Yan, Xiaoxu Ling, Qiuxiang Bian
11 citations
Education as Change
Artificial Intelligence in Healthcare and Education
1.32
article

Bridging the Algorithmic Divide

Siyuan Yan, Xiaoxu Ling, Qiuxiang Bian
article en
11 citations

Abstract

The urgency for artificial intelligence (AI) literacy has been highlighted by the 2024 Nobel Prizes in Physics and Chemistry, awarded for groundbreaking AI research. Despite AI’s transformative potential in higher education, a digital divide persists between faculty and students, with educators often lagging behind in AI adoption. This commentary addresses the critical need to enhance AI literacy among faculty, examines the barriers to AI adoption, and emphasises the evolving role of students as contributors to faculty development. The commentary outlines future research and development directions, including interdisciplinary studies, ethical frameworks, and international collaboration, to foster an inclusive and effective AI-integrated educational environment. Through these efforts, higher education can cultivate a technologically adept and ethically informed academic community, prepared to leverage AI for scientific discovery and innovation.

Education as ChangeVol. 28
East China University of Science and Technology (CN), Shanghai University of Finance and Economics (CN), Jiangsu University of Science and Technology (CN)
Jiangsu University, Jiangsu University of Science and Technology, Division of Undergraduate Education
Quality Education
Openalex Percentile: Top 18%
Artificial Intelligence in Healthcare and Education
1.32
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