<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD with MathML3 v1.3 20210610//EN" "JATS-journalpublishing1-3-mathml3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.3" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">research-focus</journal-id>
      <journal-title-group>
        <journal-title>Research Focus International Scientific Journal</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Research Focus</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub" publication-format="electronic">2181-3833</issn>
      <publisher>
        <publisher-name>Ilm-fan va innovatsiyalar akademiyasi</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.66073/researchfocus.v5i6.2403</article-id>
      <article-id pub-id-type="other" assigning-authority="relibrary.uz">REL-A-013517</article-id>
      <article-categories>
        <subj-group subj-group-type="oak">
          <subject>13.00.00</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title xml:lang="en">A MODEL FOR DEVELOPING FUTURE TEACHERS‘ TESTOLOGICAL COMPETENCE BASED ON THE INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DIGITAL ASSESSMENT TOOLS</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>МОДЕЛЬ РАЗВИТИЯ ТЕСТОЛОГИЧЕСКОЙ КОМПЕТЕНТНОСТИ БУДУЩИХ УЧИТЕЛЕЙ НА ОСНОВЕ ИНТЕГРАЦИИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА И ЦИФРОВЫХ ИНСТРУМЕНТОВ ОЦЕНИВАНИЯ</trans-title>
        </trans-title-group>
        <trans-title-group xml:lang="uz">
          <trans-title>SUN‘IY INTELLEKT VA RAQAMLI BAHOLASH VOSITALARI INTEGRATSIYASI ASOSIDA BO‘LAJAK O‘QITUVCHILARNING TESTOLOGIK KOMPETENTLIGINI RIVOJLANTIRISH MODELI</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group content-type="author">
        <contrib contrib-type="author">
          <name>
            <surname>Raisov</surname>
            <given-names>Shamsiddin Rashid o‘g‘li</given-names>
          </name>
          <aff>Master‘s Student of Testology and Educational Assessment, Termez State Pedagogical Institute, Uzbekistan</aff>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-07-05">
        <day>05</day>
        <month>07</month>
        <year>2026</year>
      </pub-date>
      <pub-date date-type="collection">
        <year>2026</year>
      </pub-date>
      <volume>5</volume>
      <issue>6</issue>
      <fpage>182</fpage>
      <lpage>191</lpage>
      <permissions>
        <license xlink:href="https://creativecommons.org/licenses/by/4.0">
          <ali:license_ref>https://creativecommons.org/licenses/by/4.0</ali:license_ref>
          <license-p>This work is licensed under a Creative Commons Attribution 4.0 International License.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://relibrary.uz/REL-A-013517/"/>
      <abstract xml:lang="en">
        <p>The rapid advancement of artificial intelligence and digital educational technologies has significantly transformed teaching and assessment practices in modern education. Future teachers are expected to possess not only pedagogical knowledge but also competencies related to educational assessment, test construction, and the effective use of digital tools. However, many teacher education programs provide insufficient opportunities for developing testological competence and assessment literacy. This study aims to propose a model for developing future teachers‘ testological competence through the integration of artificial intelligence and digital assessment tools. The research is based on the use of digital platforms such as Quizizz, Kahoot, Wordwall, Google Forms, Canva AI, ChatGPT, Gemini, and Edpuzzle in educational practice. The proposed model supports test design, automated assessment, feedback generation, learning analytics, and reflective learning processes. The findings indicate that integrating artificial intelligence with digital assessment technologies contributes to improving future teachers‘ professional readiness, assessment literacy, digital competence, and ability to organize effective learning environments. The study also emphasizes the necessity of incorporating testology and modern assessment technologies into teacher education curricula.</p>
      </abstract>
      <trans-abstract xml:lang="ru">
        <p>В статье рассматривается модель развития тестологической компетентности будущих учителей на основе интеграции искусственного интеллекта и цифровых инструментов оценивания. Быстрое развитие искусственного интеллекта и цифровых образовательных технологий существенно изменило практику преподавания и оценивания в современном образовании. От будущих учителей ожидается не только владение педагогическими знаниями, но и компетентность в области образовательного оценивания, конструирования тестов и эффективного использования цифровых инструментов. Однако многие программы педагогического образования предоставляют недостаточно возможностей для формирования тестологической компетентности и оценочной грамотности. Предлагаемая модель поддерживает разработку тестов, автоматизированное оценивание, формирование обратной связи, учебную аналитику и рефлексивное обучение. Полученные результаты показывают, что интеграция искусственного интеллекта с цифровыми технологиями оценивания способствует повышению профессиональной готовности будущих учителей, их оценочной грамотности, цифровой компетентности и способности организовывать эффективную образовательную среду.</p>
      </trans-abstract>
      <trans-abstract xml:lang="uz">
        <p>Ushbu maqolada sun‘iy intellekt va raqamli ta‘lim texnologiyalarining jadal rivojlanishi zamonaviy ta‘limda o‘qitish va baholash amaliyotini sezilarli darajada o‘zgartirgani yoritiladi. Bo‘lajak o‘qituvchilardan nafaqat pedagogik bilim, balki ta‘limiy baholash, test tuzish va raqamli vositalardan samarali foydalanish kompetensiyalari ham talab etiladi. Biroq ko‘plab pedagogik ta‘lim dasturlarida testologik kompetentlik va baholash savodxonligini rivojlantirish imkoniyatlari yetarli emas. Tadqiqot sun‘iy intellekt va raqamli baholash vositalarini integratsiya qilish orqali bo‘lajak o‘qituvchilarning testologik kompetentligini rivojlantirish modelini taklif etishga qaratilgan. Tadqiqot Quizizz, Kahoot, Wordwall, Google Forms, Canva AI, ChatGPT, Gemini va Edpuzzle platformalaridan foydalanishga asoslangan. Taklif etilgan model test loyihalash, avtomatlashtirilgan baholash, qayta aloqa yaratish, o‘quv tahlili va refleksiv o‘rganish jarayonlarini qo‘llab-quvvatlaydi. Natijalar sun‘iy intellektni raqamli baholash texnologiyalari bilan integratsiya qilish bo‘lajak o‘qituvchilarning kasbiy tayyorgarligi, baholash savodxonligi, raqamli kompetensiyasi va samarali ta‘lim muhitini tashkil etish qobiliyatini oshirishga xizmat qilishini ko‘rsatadi.</p>
      </trans-abstract>
      <kwd-group xml:lang="en">
        <kwd>testological competence</kwd>
        <kwd>future teachers</kwd>
        <kwd>artificial intelligence</kwd>
        <kwd>digital assessment</kwd>
        <kwd>assessment literacy</kwd>
        <kwd>educational technology</kwd>
        <kwd>digital platforms</kwd>
        <kwd>teacher education</kwd>
        <kwd>learning analytics</kwd>
        <kwd>innovative assessment</kwd>
      </kwd-group>
      <kwd-group xml:lang="ru">
        <kwd>тестологическая компетентность</kwd>
        <kwd>будущие учителя</kwd>
        <kwd>искусственный интеллект</kwd>
        <kwd>цифровое оценивание</kwd>
        <kwd>оценочная грамотность</kwd>
        <kwd>образовательные технологии</kwd>
        <kwd>цифровые платформы</kwd>
        <kwd>педагогическое образование</kwd>
        <kwd>учебная аналитика</kwd>
        <kwd>инновационное оценивание</kwd>
      </kwd-group>
      <kwd-group xml:lang="uz">
        <kwd>testologik kompetentlik</kwd>
        <kwd>bo‘lajak o‘qituvchilar</kwd>
        <kwd>sun‘iy intellekt</kwd>
        <kwd>raqamli baholash</kwd>
        <kwd>baholash savodxonligi</kwd>
        <kwd>ta‘lim texnologiyalari</kwd>
        <kwd>raqamli platformalar</kwd>
        <kwd>pedagogik ta‘lim</kwd>
        <kwd>o‘quv tahlili</kwd>
        <kwd>innovatsion baholash</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <back>
    <ref-list>
      <ref id="r1">
        <label>1</label>
        <mixed-citation>Holmes, W., Bialik, M., &amp; Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign. Available at: https://curriculumredesign.org/our-work/artificial-intelligence-in-education/</mixed-citation>
      </ref>
      <ref id="r2">
        <label>2</label>
        <mixed-citation>Stiggins, R. J. (1995). Assessment literacy for the 21st century. Phi Delta Kappan, 77(3), 238–245.</mixed-citation>
      </ref>
      <ref id="r3">
        <label>3</label>
        <mixed-citation>Popham, W. J. (2017). Classroom Assessment: What Teachers Need to Know (8th ed.). Pearson Education.</mixed-citation>
      </ref>
      <ref id="r4">
        <label>4</label>
        <mixed-citation>Brookhart, S. M. (2017). How to Give Effective Feedback to Your Students (2nd ed.). Alexandria, VA: ASCD.</mixed-citation>
      </ref>
      <ref id="r5">
        <label>5</label>
        <mixed-citation>Redecker, C. (2017). European Framework for the Digital Competence of Educators: DigCompEdu. Luxembourg: Publications Office of the European Union. Available at: https://publications.jrc.ec.europa.eu/repository/handle/JRC107466</mixed-citation>
      </ref>
      <ref id="r6">
        <label>6</label>
        <mixed-citation>Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/<pub-id pub-id-type="doi">10.1016/j.lindif.2023.102274</pub-id></mixed-citation>
      </ref>
      <ref id="r7">
        <label>7</label>
        <mixed-citation>Raisov, Sh. R. (2026). Developing testological competence in future teachers through digital approaches: didactic models and reflective technologies. Pedagogik Tadqiqotlar Jurnali. https://wosjournals.com/index.php/ptj/article/view/13325</mixed-citation>
      </ref>
      <ref id="r8">
        <label>8</label>
        <mixed-citation>Raisov, Sh. R. (2026). Raqamli baholash vositalari asosida bo‘lajak o‘qituvchilarda testologik kompetentlikni rivojlantirish texnologiyasi. Innovatsion Tadqiqotlar Axborotnomasi, 148–156</mixed-citation>
      </ref>
      <ref id="r9">
        <label>9</label>
        <mixed-citation>Fullan, M., Quinn, J., Drummy, M., &amp; Gardner, M. (2020). Education Reimagined: The Future of Learning. Seattle: New Pedagogies for Deep Learning.</mixed-citation>
      </ref>
      <ref id="r10">
        <label>10</label>
        <mixed-citation>UNESCO. (2023). Guidance for Generative AI in Education and Research. Paris: UNESCO. Available at: https://unesdoc.unesco.org/ark:/48223/pf0000386693</mixed-citation>
      </ref>
      <ref id="r11">
        <label>11</label>
        <mixed-citation>Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for the 21st Century. London: UCL Institute of Education Press.</mixed-citation>
      </ref>
      <ref id="r12">
        <label>12</label>
        <mixed-citation>Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., &amp; Osher, D. (2020). Implications for educational practice of the science of learning and development. Applied Developmental Science, 24(2), 97–140. https://doi.org/<pub-id pub-id-type="doi">10.1080/10888691.2018.1537791</pub-id></mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>
