PHILOSOPHICAL, PEDAGOGICAL AND PSYCHOLOGICAL ASPECTS OF INTEGRATING ARTIFICIAL INTELLIGENCE TOOLS IN EDUCATION
DOI:
https://doi.org/10.55640/Abstract
Abstract. The swift digital transformation occurring within global educational systems has positioned artificial intelligence (AI) as a pivotal element in pedagogical change. However, the prevailing narrative tends to be overly focused on technology and its practical applications. This article seeks to rectify this imbalance by exploring AI's role in education through three carefully considered dimensions: philosophical, pedagogical, and psychological. From a philosophical perspective, the study scrutinizes the epistemological and ethical foundations inherent in AI-based educational tools, addressing issues such as algorithmic bias, epistemic autonomy, and the conflict between instrumental and communicative rationalities. The pedagogical analysis assesses how different types of AI tools correspond with established learning theories and Bloom's revised taxonomy by drawing on empirical data from intelligent tutoring systems and adaptive learning platforms used in computer science education. On a psychological level, the research examines cognitive load dynamics, satisfaction of motivational needs, and socio-emotional impacts arising from learner interactions with AI—specifically focusing on challenges faced by informatics educators amid Uzbekistan’s digital transformation efforts. By synthesizing recent peer-reviewed studies (2015–2025) along with the author's own empirical research into the use of AI for teaching informatics (Yakubboyeva 2023; 2025a; 2025b), this article proposes a new Triplicate Integration Framework (TIF) as a conceptual foundation for ethically responsible and sustainable adoption of AI in educational practices.
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