This article examines the future potential of integrating artificial intelligence technologies with EGRA platforms in the process of assessing students’ knowledge and reading literacy skills. In modern education, assessment is becoming not only a tool for measuring learning outcomes, but also an important mechanism for identifying students’ individual needs, predicting learning difficulties, and improving instructional quality. The combination of artificial intelligence and EGRA platforms creates opportunities for more accurate, faster, and personalized assessment. Artificial intelligence can support automated data analysis, detect patterns in students’ performance, and provide adaptive recommendations, while the EGRA platform serves as an effective diagnostic tool for evaluating early reading skills, comprehension, fluency, and related literacy indicators. Their integration can significantly enhance the reliability, objectivity, and effectiveness of assessment processes. Moreover, this approach helps teachers make data-driven pedagogical decisions, organize targeted interventions, and improve students’ overall academic development. The article highlights the pedagogical significance, practical advantages, and future prospects of combining artificial intelligence and EGRA platforms in educational assessment.

artificial intelligence, EGRA platform, student assessment, reading literacy, adaptive learning, pedagogical diagnostics, educational technology, individualized approach, data analysis, learning outcomes.

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