Generative AI, learning and new literacies
Open accessAbstract
Launched in November 2022, OpenAI’s ChatGPT garnered over 100 million users within two months, sparking a surge in research and concern over potential risks of extensive AI experiments. The article, originating from a conference presentation by Tsinghua University and NTHU, Taiwan, provides a nuanced overview of Generative AI. It explores the classifications, applications, governance challenges, societal implications, and development trajectory of Generative AI, emphasizing its transformative role in employment and education. The piece highlights ChatGPT’s significant impact and the strategic adaptations required in various sectors, including medical education, engineering, information management, and distance education. Furthermore, it explores the opportunities and challenges associated with incorporating ChatGPT in educational settings, emphasizing its support in facilitating personalized learning, developing 21st-century competencies, fostering self-directed learning, and enhancing information accessibility. It also illustrates the integration of ChatGPT and text-to-image models in high school language courses through the lens of new literacies. The text uniquely integrates three layers of discourse: introductions to Generative AI by experts, scholarly debates on its merits and drawbacks, and practical classroom applications, offering a reflective snapshot of the current and potential states of Generative AI applications while emphasizing the interconnected discussions across various layers of discourse.
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Students often view GenAI as a valuable learning aid but are also mindful of legitimate concerns regarding misuse.
“Students often view GenAI as a valuable learning aid but are also mindful of legitimate concerns regarding misuse (Barus et al., 2025; Chen, 2023).”
Cites
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LoRA: Low-Rank Adaptation of Large Language Models
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“In contrast, ChatGPT operates as a chatbot, designed for user interaction and task execution (Ray, 2023).”
BackgroundResultInfluentialA Survey of Large Language Models
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Exploring learners’ experiences and perceptions of ChatGPT as a learning tool in higher education
Monib, W. K., Qazi, A., & Mahmud, M. M. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-13065-4 · Cited by 80 · see citing works
Barus, O., Hidayanto, A. N., & Eitiveni, I. (2025) · Polyglot: Jurnal Ilmiah · doi:10.19166/pji.v21i2.10020 · Cited by 6 · see citing works
- Authors
- Chen, S.-Y.
- Affiliations
- National Tsing Hua University (TW)
- Corresponding author
- Chen, Su-Yen
- ORCID
- Chen, Su-Yen
- Venue
- Journal of Educational Technology Development and Exchange
- Publisher
- University of Southern Mississippi
- Published
- 2023
- Volume
- 16
- Issue
- 2
- Pages
- 1-19
- ISSN
- 1941-8027 (ISSN-L)
- 1941-8035
- OpenAlex
- W4388556598
- Cited by
- 44
- References
- 19
- Citations by year
- 2026: 13 · 2025: 21 · 2024: 9 · 2023: 1
- FWCI
- 10.33
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Journal of Educational Technology Development and Exchange (publishedVersion, cc-by-nc-nd)
- Aquila Digital Community (University of Southern Mississippi) (submittedVersion, cc-by-nc-nd)
- Funders
- National Tsing Hua University
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- generative AI, ChatGPT, new literacies, artificial intelligence in education, personalized learning, 21st century skills, self-directed learning, text-to-image models, AI governance, artificial intelligence in medical education, information accessibility
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