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        <identifier>oai:figshare.com:article/33963814</identifier>
        <datestamp>2026-09-22T09:58:24Z</datestamp>
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          <dc:title>&lt;b&gt;The Generative AI Learning Paradox: Cognitive Engagement and Offloading Pathways to Deep Learning and Perceived Knowledge Retention&lt;/b&gt;</dc:title>
          <dc:creator>KDV PRASAD (18118630)</dc:creator>
          <dc:subject>Educational psychology</dc:subject>
          <dc:subject>Generative Artificial Intelligence</dc:subject>
          <dc:subject>Cognitive Engagement</dc:subject>
          <dc:subject>Cognitive Offloading</dc:subject>
          <dc:subject>Deep learning</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;The data set is an output of our research on &lt;b&gt;The Generative AI Learning Paradox: Cognitive Engagement and Offloading Pathways to Deep Learning and Perceived Knowledge Retention&lt;/b&gt;. &lt;b&gt;Generative artificial intelligence (GenAI) could support learning by activating learners’ desire to explore and receive feedback, but it could also allow them to contract out of cognitively effortful processes. This research project tested cognitive engagement and cognitive offloading as parallel mediators of GenAI learning use predicting two learning outcomes: deep learning and perceived knowledge retention&lt;/b&gt;&lt;/p&gt;</dc:description>
          <dc:date>2026-09-22T09:58:24Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.33963814.v1</dc:identifier>
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