Using AI-Powered Tools to Enhance Article Retrieval Processes: Locating Quality Resources Quickly

dc.contributor.authorYusuf, Mohamed
dc.date.accessioned2025-05-26T13:11:40Z
dc.date.available2025-05-26T13:11:40Z
dc.date.issued2025-04-04
dc.description.abstractThis poster examines how AI-powered tools impact the resource retrieval process with an awareness of challenges in digital literacy, critical thinking, and accessibility. Insight within the poster seeks to enhance understanding of how to use AI-powered processes independently or alongside traditional article retrieval platforms to streamline the resource retrieval process. Specifically, it will focus on the ethical integration of AI to reduce the time required to collect the resources in awkward traditional platforms while increasing the time available for learning outcome achievement. This investigation explores the student experience using traditional research repositories and AI-powered networks, comparing them in terms of content quality, efficiency, and engagement.
dc.identifier.urihttps://hdl.handle.net/10155/1953
dc.language.isoen
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectSOCIAL SCIENCES::Social sciences::Education
dc.subject.otherArtificial Intelligence
dc.subject.otherResearchRabbit
dc.subject.otherAcademic Research
dc.subject.otherDigital literacy
dc.subject.otherArticle retrieval
dc.subject.otherAI tools
dc.subject.otherHigher education
dc.subject.otherAccessibility
dc.subject.otherStudent engagement
dc.subject.otherResearch productivity
dc.subject.otherInformation management
dc.titleUsing AI-Powered Tools to Enhance Article Retrieval Processes: Locating Quality Resources Quickly
dc.typePresentation

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