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                <identifier>oai:data.mendeley.com/5yh2h77fkj.1</identifier>
                <datestamp>2026-09-18T13:45:35Z</datestamp>
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    <dc:creator>Arifen, Radoanul</dc:creator>
    <dc:title>Generative AI Adoption, Academic Learning, and Research Capability among Public Health Students in Bangladesh: Survey Dataset</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset contains primary survey data collected from public health students enrolled in public and private universities in Bangladesh. Data were collected through both online and physical survey methods from universities offering Public Health and related academic programs. The dataset examines Generative Artificial Intelligence (GenAI) adoption and its relationship with academic learning and research capability, while also considering AI literacy and AI dependency. It includes demographic characteristics, GenAI usage patterns, and responses to validated construct items measured using a five-point Likert scale ranging from Strongly Disagree to Strongly Agree. The dataset contains 580 valid responses and is suitable for quantitative analysis, including Partial Least Squares Structural Equation Modeling (PLS-SEM).</dc:description>
    <dc:subject>Social Sciences</dc:subject>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Health Sciences</dc:subject>
    <dc:subject>Artificial Intelligence</dc:subject>
    <dc:subject>Public Health</dc:subject>
    <dc:contributor id="https://orcid.org/0009-0009-9109-0550">Puja, Paromita Karmoker </dc:contributor>
    <dc:contributor id="https://orcid.org/0009-0008-2531-1581">Sikdhar, Md.Nabil</dc:contributor>
    <dc:contributor id="https://orcid.org/0009-0004-1094-1397">Azad, Anisa</dc:contributor>
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    <dc:identifier>doi:10.17632/5yh2h77fkj.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/5yh2h77fkj.1</dc:identifier>
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    <dc:date>2026-09-18T13:45:35Z</dc:date>
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