The Use of Artificial Intelligence in Academic Writing
Abstract
This paper provides a theoretical exploration of AI in academic writing, synthesizing
existing literature and conceptual frameworks. It highlights the benefits of AI for productivity,
feedback quality, and accessibility while analyzing challenges such as dependency, integrity, and
bias. The paper concludes by proposing a conceptual framework for responsible AI integration
in academic writing and outlining directions for future research.
Keyword
References
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- Luther, T., et al. (2024). Teaming up with an AI: Exploring human–AI collaboration. MDPI AI & Society.
- Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285.
- Mahapatra, S. (2024). Impact of ChatGPT on ESL students’ academic writing skills.
- Hutson, J. (2025). Framework for human-AI collaboration in writing.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to share and adapt this work for any purpose, including commercially, provided you give appropriate credit to the original author(s) and source, provide a link to the license, and indicate if changes were made.
License: creativecommons.org
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