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Leveraging AI for Advancements in Qualitative Research Methodology

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dc.contributor.author Haouam, Ilyas
dc.date.accessioned 2025-05-11T11:14:06Z
dc.date.available 2025-05-11T11:14:06Z
dc.date.issued 2024-10-25
dc.identifier.uri http://depot.umc.edu.dz/handle/123456789/14617
dc.description.abstract This study explores the various Artificial Intelligence (AI) technologies, such as natural language processing and machine learning, that enhance qualitative re search processes. AI's capabilities streamline data collection, coding, theme iden-tification, and visualization, providing efficiencies that manual analysis cannot match. Despite these benefits, challenges remain, including AI's limitations in in-terpreting nuanced data, reliance on training datasets, and potential ethical con-cerns regarding privacy and consent. This article emphasizes a balanced approach where AI supports, rather than replaces, traditional qualitative research methods. Looking ahead, continued advancements in AI technology are expected to drive more sophisticated and collaborative research practices, fostering hybrid methods that combine AI's power with human expertise. fr_FR
dc.language.iso en fr_FR
dc.publisher Université Frères Mentouri - Constantine 1 fr_FR
dc.subject Leveraging AI fr_FR
dc.title Leveraging AI for Advancements in Qualitative Research Methodology fr_FR
dc.type Article fr_FR


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