This article examines the methodology for organizing individual learning trajectories based on artificial intelligence. The central idea of the study is that modern education increasingly requires a flexible instructional model that considers each learner’s knowledge level, learning pace, interests, needs and individual opportunities. Artificial intelligence tools can support diagnostics, learner profiling, adaptive tasks, timely feedback and individualized assessment. Using theoretical analysis, pedagogical modeling and methodological design, the article proposes a staged algorithm for building an AI-supported individual learning trajectory. The results emphasize that artificial intelligence should not replace the teacher; rather, it should strengthen the teacher’s diagnostic, advisory and monitoring functions. The proposed methodology supports independent learning, reflection, motivation and competency-based development of learners.
| Mualliflar | Madrakhimov, Tuliboy, Мадрахимов, Тулибой, Madraximov, Tuliboy |
|---|---|
| Jurnal | Жамият ва инновациялар / Общество и инновации / Society and innovations |
| Nashr sanasi | 2026-06-25 |
| Jild | 7 |
| Son | 6/S |
| Betlar | 171-178 |
| Til | O‘zbek |
| DOI | 10.47689/2181-1415-vol7-iss6/s-pp171-178 |
DOI: 10.47689/2181-1415-vol7-iss6/s-pp171-178 · Maqolaning asl sahifasi
sun’iy intellekt, individual ta’lim trayektoriyasi, adaptiv ta’lim, shaxsga yo‘naltirilgan ta’lim, diagnostika, raqamli pedagogika, teskari aloqa, metodika, искусственный интеллект, индивидуальная образовательная траектория, адаптивное обучение, личностно-ориентированное обучение, диагностика, цифровая педагогика, обратная связь, методика, artificial intelligence, individual learning trajectory, adaptive learning, learner-centered education, diagnostics, digital pedagogy, feedback, methodology
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Жамият ва инновациялар / Общество и инновации / Society and innovations — barcha maqolalar