Doctoral students' reflections on generative artificial intelligence (GenAI) use in the literature review process.

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Title: Doctoral students' reflections on generative artificial intelligence (GenAI) use in the literature review process.
Authors: Kumar, Swapna1 (AUTHOR) swapnak@ufl.edu, Gunn, Ariel1 (AUTHOR)
Source: Innovations in Education & Teaching International. Aug2025, Vol. 62 Issue 4, p1395-1408. 14p.
Subject Terms: *Generative artificial intelligence, *Psychology of students, *Educational literature, *Doctoral students, *Information literacy, *Academic dissertations
Abstract: Amidst discussions about the use of Generative AI (GenAI) for academic research, their potential for doctoral research or literature reviews is an area beginning to be explored. This qualitative study explores doctoral students' perceptions of the value of GenAI tools in the literature review process. The analysis of 26 participants' reflections on their exploration of three GenAI technologies revealed benefits and challenges for the literature review process. Participants highlighted the potential of these tools as complementary to traditional database searches presuming users possess prior information literacy and research skills. They also perceived several challenges such as inaccuracies, usability and privacy and emphasised the importance and indispensability of a human review. This study highlights the need for guidance and strategies for doctoral students on the appropriate and ethical integration of GenAI in literature reviews. [ABSTRACT FROM AUTHOR]
Copyright of Innovations in Education & Teaching International is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Doctoral students' reflections on generative artificial intelligence (GenAI) use in the literature review process.
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  Data: <searchLink fieldCode="JN" term="%22Innovations+in+Education+%26+Teaching+International%22">Innovations in Education & Teaching International</searchLink>. Aug2025, Vol. 62 Issue 4, p1395-1408. 14p.
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  Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Psychology+of+students%22">Psychology of students</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+literature%22">Educational literature</searchLink><br />*<searchLink fieldCode="DE" term="%22Doctoral+students%22">Doctoral students</searchLink><br />*<searchLink fieldCode="DE" term="%22Information+literacy%22">Information literacy</searchLink><br />*<searchLink fieldCode="DE" term="%22Academic+dissertations%22">Academic dissertations</searchLink>
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  Data: Amidst discussions about the use of Generative AI (GenAI) for academic research, their potential for doctoral research or literature reviews is an area beginning to be explored. This qualitative study explores doctoral students' perceptions of the value of GenAI tools in the literature review process. The analysis of 26 participants' reflections on their exploration of three GenAI technologies revealed benefits and challenges for the literature review process. Participants highlighted the potential of these tools as complementary to traditional database searches presuming users possess prior information literacy and research skills. They also perceived several challenges such as inaccuracies, usability and privacy and emphasised the importance and indispensability of a human review. This study highlights the need for guidance and strategies for doctoral students on the appropriate and ethical integration of GenAI in literature reviews. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Innovations in Education & Teaching International is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/14703297.2024.2427049
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        Text: English
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      – SubjectFull: Generative artificial intelligence
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      – SubjectFull: Psychology of students
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      – SubjectFull: Educational literature
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              Text: Aug2025
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