EDUCATOR 2.0: A HYBRID MODEL OF AI-AUGMENTED TEACHING IN THE DIGITAL EDUCATIONAL ECOSYSTEM
Abstract
The article examines the Educator 2.0 model as a hybrid framework for AI-augmented teaching in the contemporary digital educational ecosystem. The study focuses on the changing role of the teacher in conditions where generative artificial intelligence, AI chatbots, digital avatars and adaptive learning systems are increasingly integrated into pedagogical practice. Based on a conceptual analysis of the Educator 2.0 presentation and recent scientific literature, the article identifies the main functional components of the model: AI-supported lesson design, automated routine assistance, personalized learning cycles, voice-based interaction, avatar-mediated practice and ethical risk management. The findings show that AI can reduce teachers’ routine workload, support individualized instruction and create additional opportunities for language practice. However, the model emphasizes that artificial intelligence should not replace the teacher, since human pedagogical judgement, empathy, ethical responsibility and contextual interpretation remain central to educational quality. The article concludes that Educator 2.0 represents a professionally supervised hybrid ecosystem in which AI expands instructional possibilities while the teacher preserves the leading role in learner development.
Keywords
Educator 2.0, artificial intelligence in education, generative AI, digital pedagogy, personalized learning, AI avatars, language teaching, teacher role, hybrid learning ecosystem, educational technology.How to Cite
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Copyright (c) 2026 Said-Fozilkhon Akmalkhonovich Akmalkhonov
This work is licensed under a Creative Commons Attribution 4.0 International License.
