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Generative Artificial Intelligence (AI) in Higher Education: A Comprehensive Review of Challenges, Opportunities, and Implications

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Title: Generative Artificial Intelligence (AI) in Higher Education: A Comprehensive Review of Challenges, Opportunities, and Implications
Language: English
Authors: Michal Bobula
Source: Journal of Learning Development in Higher Education. 2024 (30).
Availability: Association for Learning Development in Higher Education. 33 Lower Road, Salisbury, Wiltshire, SP2 9NB, UK. e-mail: admin@aldinhe.ac.uk; Web site: https://jldhe.aldinhe.ac.uk/
Peer Reviewed: Y
Page Count: 27
Publication Date: 2024
Document Type: Journal Articles
Reports - Evaluative
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Information Technology, Natural Language Processing, Literature Reviews, Models, Technology Uses in Education, Technology Integration, Educational Policy, Guidelines, Professional Development, Curriculum Development, Alignment (Education), Integrity, Privacy, Misinformation, Copyrights, Equal Education, Diversity, Inclusion, Educational Strategies, Best Practices, Higher Education
ISSN: 1759-667X
Abstract: This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5, within the realm of higher education. Through a comprehensive review of the academic literature, this paper highlights the unprecedented growth of these models and their widereaching impact across various sectors. The discussion sheds light on the complex issues and potential benefits presented by LLMs, providing a comprehensive overview of the field's current state. In the context of higher education, the paper explores the challenges and opportunities posed by LLMs. These include issues related to educational assessment, potential threats to academic integrity, privacy concerns, the propagation of misinformation, Equity, Diversity, and Inclusion (EDI) aspects, copyright concerns and inherent biases within the models. While these challenges are multifaceted and significant, the paper emphasises the availability of strategies to address them effectively and facilitate the successful adoption of LLMs in educational settings. Furthermore, the paper recognises the potential opportunities to transform higher education. It emphasises the need to update assessment policies, develop guidelines for staff and students, scaffold AI skills development, and find ways to leverage technology in the classroom. By proactively pursuing these steps, higher education institutions (HEIs) can harness the full potential of LLMs while managing their adoption responsibly. In conclusion, the paper urges HEIs to allocate appropriate resources to handle the adoption of LLMs effectively. This includes ensuring staff AI readiness and taking steps to modify their study programmes to align with the evolving educational landscape influenced by emerging technologies.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1431470
Database: ERIC
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  Data: Generative Artificial Intelligence (AI) in Higher Education: A Comprehensive Review of Challenges, Opportunities, and Implications
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  Data: Association for Learning Development in Higher Education. 33 Lower Road, Salisbury, Wiltshire, SP2 9NB, UK. e-mail: admin@aldinhe.ac.uk; Web site: https://jldhe.aldinhe.ac.uk/
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  Data: This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5, within the realm of higher education. Through a comprehensive review of the academic literature, this paper highlights the unprecedented growth of these models and their widereaching impact across various sectors. The discussion sheds light on the complex issues and potential benefits presented by LLMs, providing a comprehensive overview of the field's current state. In the context of higher education, the paper explores the challenges and opportunities posed by LLMs. These include issues related to educational assessment, potential threats to academic integrity, privacy concerns, the propagation of misinformation, Equity, Diversity, and Inclusion (EDI) aspects, copyright concerns and inherent biases within the models. While these challenges are multifaceted and significant, the paper emphasises the availability of strategies to address them effectively and facilitate the successful adoption of LLMs in educational settings. Furthermore, the paper recognises the potential opportunities to transform higher education. It emphasises the need to update assessment policies, develop guidelines for staff and students, scaffold AI skills development, and find ways to leverage technology in the classroom. By proactively pursuing these steps, higher education institutions (HEIs) can harness the full potential of LLMs while managing their adoption responsibly. In conclusion, the paper urges HEIs to allocate appropriate resources to handle the adoption of LLMs effectively. This includes ensuring staff AI readiness and taking steps to modify their study programmes to align with the evolving educational landscape influenced by emerging technologies.
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    Languages:
      – Text: English
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        PageCount: 27
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Information Technology
        Type: general
      – SubjectFull: Natural Language Processing
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      – SubjectFull: Literature Reviews
        Type: general
      – SubjectFull: Models
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Technology Integration
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      – SubjectFull: Educational Policy
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      – SubjectFull: Guidelines
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      – SubjectFull: Curriculum Development
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      – SubjectFull: Best Practices
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      – SubjectFull: Higher Education
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      – TitleFull: Generative Artificial Intelligence (AI) in Higher Education: A Comprehensive Review of Challenges, Opportunities, and Implications
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