SOFTWARE ARCHITECTURE AND PEDAGOGICAL PRINCIPLES OF APPLYING MULTIMODAL ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE TEACHING AND LEARNING PROCESS

Authors

  • Giyosova Gulnoza Alisher qizi Author

Keywords:

multimodal artificial intelligence, generative AI, educational software architecture, multimodal learning analytics, AI literacy, digital didactics, instructional design.

Abstract

The paper substantiates the software and pedagogical foundations of introducing multimodal artificial intelligence — models that jointly process text, speech, images and video — into the educational process. A four-layer integration architecture is proposed, and the didactic principles that make such systems instructionally effective are derived from the cognitive theory of multimedia learning and the UNESCO AI competency framework for teachers. Risks of hallucination, bias, data protection and skill erosion are analysed.

References

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5.UNESCO. AI competency framework for teachers. – Paris: UNESCO, 2024.

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7.Resolution of the President of the Republic of Uzbekistan No. PQ-358 of 14.10.2024 “On approval of the Strategy for the Development of AI Technologies until 2030”. – Tashkent, 2024.

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Published

2026-08-15

How to Cite

SOFTWARE ARCHITECTURE AND PEDAGOGICAL PRINCIPLES OF APPLYING MULTIMODAL ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE TEACHING AND LEARNING PROCESS (Giyosova Gulnoza Alisher qizi, Trans.). (2026). London International Monthly Conference on Multidisciplinary Research and Innovation (LIMCMRI), 7(01), 88-90. https://worldsiencepub.com/index.php/lmc/article/view/11971