Artificial intelligence in academic research: Benefits, challenges, and ethical dimensions in doctoral studies
The adoption of Artificial Intelligence (AI) tools, such as ChatGPT and NVivo, is reshaping academic research by offering doctoral students unprecedented opportunities to enhance productivity, streamline workflows, and explore new analytical possibilities. These tools enable advanced data analysis,...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Moroccan Association for Applied Science and Innovation
2025-04-01
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| Series: | Moroccan Journal of Quantitative and Qualitative Research |
| Subjects: | |
| Online Access: | https://revues.imist.ma/index.php/MJQR/article/view/55186 |
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| Summary: | The adoption of Artificial Intelligence (AI) tools, such as ChatGPT and NVivo, is reshaping academic research by offering doctoral students unprecedented opportunities to enhance productivity, streamline workflows, and explore new analytical possibilities. These tools enable advanced data analysis, automate repetitive tasks, and foster cross-disciplinary collaboration, significantly improving research quality. However, this transformation is accompanied by challenges, including ethical concerns such as algorithmic bias, risks to data privacy, and over-reliance on automation, which may erode critical thinking and human judgment. Additionally, disparities in institutional support and training exacerbate inequities, leaving some researchers unable to fully leverage these technologies. Based on qualitative insights from 41 doctoral students across diverse disciplines, this study employs thematic analysis and aligns findings with the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to provide a nuanced perspective on AI's role in academia. While the benefits are undeniable, the research emphasizes the need for robust training programs, equitable access to AI tools, and ethical guidelines to address risks. The study concludes with actionable recommendations for researchers, institutions, and policymakers to ensure that AI integration in academia fosters innovation while preserving critical human expertise and maintaining ethical standards.
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| ISSN: | 2665-8623 |