Paper Title: Multimodality of AI for Education: Towards Artificial General Intelligence
Author:
Abstract:
Multimodal artificial intelligence (AI) is changing the learning process through unifying the various forms of data that can be integrated into a single system: text, speech, images, gestures and sensor signals that replicate human cognition. Multimodal AI represents a transitional stage to the wider objective of Artificial General Intelligence (AGI) between specialized AI models and their use in education. We examine how it is being used in personalized tutoring, virtual classrooms that have immersive aspects, and accessible learning to students with diverse needs. The unusual role of multimodal models in facilitating contextual comprehension, cross domain reasoning and adaptive pedagogy. We also respond to critical issues and those are ethical considerations, privacy threats, data bias, and resources-intensive infrastructures. To leverage multimodal AI to achieve inclusive and interactive educational experience that promotes creativity, critical thinking, and lifelong learning, we suggest a roadmap to these outcomes that will enable human-like AGI to think, reason, and respond like human tutors as education systems.
Keywords:Multimodal AI, Artificial General Intelligence, Personalized Learning, Educational Technology, Human-Computer Interaction.
DOI Link – https://doi.org/10.63431/AIJITR/2.VI.2025.90-99
Review By – Dr. Parimal Sarkar and Dr. Amit Adhikari