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        <datestamp>2026-09-27T00:17:00Z</datestamp>
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          <dc:title>Cognitive Traceability Rubric and SaaS Educational Platform: Doctoral Thesis Dataset and Scripts Repository (Ciudad Juárez, Chihuahua, Mexico, 2026)</dc:title>
          <dc:creator>LUIS FERNANDO ALVAREZ SAUCEDO (22770878)</dc:creator>
          <dc:subject>Higher education</dc:subject>
          <dc:subject>Inclusive education</dc:subject>
          <dc:subject>Gender, sexuality and education</dc:subject>
          <dc:subject>Educational technology and computing</dc:subject>
          <dc:subject>Artificial intelligence not elsewhere classified</dc:subject>
          <dc:subject>Industrial engineering</dc:subject>
          <dc:subject>Digital Matthew Effect</dc:subject>
          <dc:subject>Artificial intelligence in education</dc:subject>
          <dc:subject>STEM education</dc:subject>
          <dc:subject>Digital inequality</dc:subject>
          <dc:subject>Gender gap</dc:subject>
          <dc:subject>Technological infrastructure</dc:subject>
          <dc:subject>Higher education</dc:subject>
          <dc:subject>Educational technology</dc:subject>
          <dc:subject>Cluster analysis</dc:subject>
          <dc:subject>Academic performance</dc:subject>
          <dc:subject>quantitative research on education</dc:subject>
          <dc:subject>Educational data mining</dc:subject>
          <dc:subject>Border studies (Mexico-US border)</dc:subject>
          <dc:subject>Ciudad Juárez</dc:subject>
          <dc:subject>Chihuahua</dc:subject>
          <dc:subject>Effective Tutor</dc:subject>
          <dc:subject>Academic fast track</dc:subject>
          <dc:subject>Cognitive Traceability Rubric</dc:subject>
          <dc:subject>SaaS Educational Platform</dc:subject>
          <dc:description>&lt;pre&gt;This dataset and script repository for the doctoral thesis titled "Digital Matthew Effect in Border STEM Higher Education" (Ciudad Juárez, Chihuahua, Mexico, 2026) incorporates the expert-validated cognitive traceability rubric, designed to evaluate and track critical thinking and learning within technological environments. The repository includes files in two language versions (Spanish and English) to ensure international accessibility and methodological reproducibility.&lt;br&gt;&lt;br&gt;Additionally, it documents the piloting of the rubric through the SaaS educational platform (EduTraza), built upon the core guiding principle to make AI-supported learning visible, reviewable, and meaningful. EduTraza serves as a role-based workspace for documenting prompts, comparing responses, verifying sources, justifying decisions, and reflecting on learning.&lt;/pre&gt;&lt;p&gt;&lt;/p&gt;</dc:description>
          <dc:date>2026-09-27T00:17:00Z</dc:date>
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