<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2960-2467</journal-id>
<journal-title><![CDATA[e-Revista Multidisciplinaria del Saber]]></journal-title>
<abbrev-journal-title><![CDATA[e-Rev. Multidiscip. Saber]]></abbrev-journal-title>
<issn>2960-2467</issn>
<publisher>
<publisher-name><![CDATA[Centro de Investigación en Tecnologías de Salud y Ambiente (CITSA)]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2960-24672025000100263</article-id>
<article-id pub-id-type="doi">10.61286/e-rms.v3i.284</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Agentes convencionales de IA y Blockchain en educación superior: un marco para la personalización dinámica del aprendizaje y la certificación inmutable de microcredenciales]]></article-title>
<article-title xml:lang="en"><![CDATA[Conventional AI agents and Blockchain in higher education: A framework for dynamic learning personalization and immutable micro-credential certification]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Reggiardo Romero]]></surname>
<given-names><![CDATA[Rosmery Ruth]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Effio León]]></surname>
<given-names><![CDATA[Julio Giovanni]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Reggiardo Romero]]></surname>
<given-names><![CDATA[Roxana Ruth]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Verástegui]]></surname>
<given-names><![CDATA[Jackeline Giovanna, Zubizarreta Moreno de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Agreda Ciruelos]]></surname>
<given-names><![CDATA[María del Pilar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Tecnológica del Perú  ]]></institution>
<addr-line><![CDATA[Lima ]]></addr-line>
<country>Peru</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad César Vallejo  ]]></institution>
<addr-line><![CDATA[Lima ]]></addr-line>
<country>Peru</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Tecnológica del Perú  ]]></institution>
<addr-line><![CDATA[Lima ]]></addr-line>
<country>Peru</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Tecnológica del Perú  ]]></institution>
<addr-line><![CDATA[Lima ]]></addr-line>
<country>Peru</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Universidad Tecnológica del Perú  ]]></institution>
<addr-line><![CDATA[Lima ]]></addr-line>
<country>Peru</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<volume>3</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_arttext&amp;pid=S2960-24672025000100263&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_abstract&amp;pid=S2960-24672025000100263&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_pdf&amp;pid=S2960-24672025000100263&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El presente estudio aborda la necesidad de un marco arquitectónico integrado que combine las capacidades de adaptación de los agentes de Inteligencia Artificial con la garantía de confianza de la tecnología Blockchain en el contexto de la educación superior. El objetivo de esta investigación fue diseñar una solución conceptual que respondiera simultáneamente al imperativo pedagógico de la personalización dinámica del aprendizaje y al desafío de la integridad académica derivado del uso de la inteligencia artificial generativa. La metodología empleada se basó en el rigor del Diseño Conceptual, estableciendo los requisitos funcionales y no funcionales necesarios para la convergencia de ambas tecnologías. El primer resultado es la formulación de una arquitectura de tres capas: la capa de personalización, el motor de validación y la capa de certificación inmutable. Un hallazgo fundamental es el diseño del Motor de Validación de Competencias, que funge como un punto de control ético y de integridad, al definir disparadores de certificación que consideran variables no pedagógicas, como el bajo riesgo de plagio por Inteligencia Artificial, antes de activar el proceso. Finalmente, el marco concluye con la conceptualización de la microcredencial adaptativa, cuyo logro individualizado es registrado de manera permanente mediante un contrato inteligente. Esta investigación contribuye al campo al ofrecer a las instituciones académicas un modelo viable para certificar los logros de un aprendizaje personalizado con rigor académico y verificabilidad global.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This study addresses the need for an integrated architectural framework that combines the adaptive capabilities of Artificial Intelligence agents with the assurance of trust provided by Blockchain technology within the context of higher education. The objective of this research was to design a conceptual solution that would simultaneously respond to the pedagogical imperative of dynamic learning personalization and the challenge of academic integrity resulting from the use of generative artificial intelligence. The methodology employed was based on the rigor of Conceptual Design, establishing the functional and non-functional requirements necessary for the convergence of both technologies. The first outcome is the formulation of a three-layered architecture: the personalization layer, the validation engine, and the immutable certification layer. A key finding is the design of the Competence Validation Engine, which acts as an ethical and integrity control point by defining certification triggers that consider non-pedagogical variables, such as low risk of Artificial Intelligence-based plagiarism, before activating the process. Finally, the framework concludes with the conceptualization of the adaptive micro-credential, whose individualized achievement is permanently recorded via a smart contract. This research contributes to the field by offering academic institutions a viable model for certifying the achievements of personalized learning with academic rigor and global verifiability.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[Blockchain]]></kwd>
<kwd lng="es"><![CDATA[educación superior]]></kwd>
<kwd lng="es"><![CDATA[personalización dinámica]]></kwd>
<kwd lng="es"><![CDATA[microcredenciales.]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[Blockchain]]></kwd>
<kwd lng="en"><![CDATA[higher education]]></kwd>
<kwd lng="en"><![CDATA[dynamic personalization]]></kwd>
<kwd lng="en"><![CDATA[micro-credentials]]></kwd>
</kwd-group>
</article-meta>
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