Cited by 463Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

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Generative AI in Education and Research: Opportunities, Concerns, and Solutions

Alasadi, Eman A., Baiz, Carlos R.·2023·Journal of Chemical Education

DOI 10.1021/acs.jchemed.3c00323

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Abstract

In this article, we discuss the role of generative artificial intelligence (AI) in education. The integration of AI in education has sparked a paradigm shift in teaching and learning, presenting both unparalleled opportunities and complex challenges. This paper explores critical aspects of implementing AI in education to advance educational goals, ethical considerations in scientific publications, and the attribution of credit for AI-driven discoveries. We also examine the implications of using AI-generated content in professional activities and describe equity and accessibility concerns. By weaving these key questions into a comprehensive discussion, this article aims to provide a balanced perspective on the responsible and effective use of these technologies in education, highlighting the need for a thoughtful, ethical, and inclusive approach to their integration.

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Authors: Alasadi, E. A., & Baiz, C. R.
Affiliations: The University of Texas at Austin (US)
Corresponding author: Baiz, Carlos R.
ORCID: Baiz, Carlos R.
Venue: Journal of Chemical Education
Publisher: American Chemical Society (ACS)
Published: 2023-07-27
Volume: 100
Issue: 8
Pages: 2965-2971
ISSN: 0021-9584 (ISSN-L)
1938-1328
DOI: 10.1021/acs.jchemed.3c00323
OpenAlex: W4385303098
Cited by: 463
References: 11
Citations by year: 2026: 113 · 2025: 183 · 2024: 154 · 2023: 13
FWCI: 108.66
Type: journal article
Language: en
Open access: closed
Licence: doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-045 (stm-asf)
Locations: Journal of Chemical Education (publishedVersion)
Funders: Division of Chemistry (CHE-1847199)
Welch Foundation (F-1891)
University of Texas at Austin
Topics: Social Sciences › Education › Artificial Intelligence in Education
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Keywords: generative AI, artificial intelligence in education, artificial intelligence in research, authorship attribution, AI-generated content, equity and accessibility, responsible AI use, teaching-learning process

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Generative AI in Education and Research: Opportunities, Concerns, and Solutions

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