The Future of Teaching: Artificial Intelligence (AI) And Artificial General Intelligence (AGI) For Smarter, Adaptive, and Data-Driven Educator Training

Kumar Balasubramanian

doi:10.17509/ijotis.v5i1.82626

The Future of Teaching: Artificial Intelligence (AI) And Artificial General Intelligence (AGI) For Smarter, Adaptive, and Data-Driven Educator Training

Kumar Balasubramanian

Abstract

The fast evolution of Artificial Intelligence (AI) and the developing Artificial General Intelligence (AGI) capabilities transform how education operates, particularly through its effect on teacher training. AI-based systems provide adaptable learning spaces, and they offer both real-time assessment capabilities and data-driven educational method improvements. With its capability for human-level cognitive operations, AGI creates conditions to transform educator skill advancement processes. The article examines AI and AGI integration within teacher education programs by discussing their practical uses and advantages, together with the encountered challenges and ethical dilemmas. The analysis combines evaluative and creative AI tools like Gradescope and ChatGPT, and Carnegie Learning, with developing capabilities in AGI. The article uses detailed analysis, together with tables, along pictorial representations to show the necessity of achieving optimal teacher training through AI-human balanced cooperation. The research finds that AI brings efficiency benefits, but AGI's prospective function needs strict governance together with educational alignment, to maintain ethical, unbiased teacher education.

Keywords

Adaptive learning; AGI in teaching; AI in education; Data-driven instruction; Intelligent assessment; Pedagogy; Teacher training; Technology

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References

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DOI: https://doi.org/10.17509/ijotis.v5i1.82626