Artificial Intelligence and Human-Centered in Linguistic Analysis: Self-Regulated Learning and Development

Abstract

Recently, learning approaches have utilized Artificial Intelligence (AI) and the Internet of Things (IoT) to create an efficient learning environment. The application of IoT and AI to improve learning systems is thoroughly examined in this paper. Additionally discussed are various IoT and AI-based approaches and strategies related to e-learning, M-learning, methods employed, and particular applications. A new era of linguistic and literary analysis is ushered in by the convergence of technology and the humanities. The creative ways that artificial intelligence provides for comprehending and interpreting texts make it relevant. As it enables the discovery of meaning, style, and other aspects of language usage in texts, linguistic analysis of texts is a crucial component of philological investigation. In this human-centric paradigm, it also becomes imperative to investigate how AI aligns with human values. In particular, giving in-service teachers examples of how to apply the suggested framework improved their understanding of generative AI concepts and how to incorporate them into their instruction. To handle learning techniques more effectively, the results of this evaluation will guide the creation of strategies that combine IoT and AI.