Integrating Artificial Intelligence into Digital Technologies for Science Teaching

Abstract

The incorporation of artificial intelligence (AI) into digital technologies is transforming science education, providing unparalleled opportunities for innovation, personalization, and international collaboration. This article examines how artificial intelligence can augment the functionalities of digital platforms to promote inquiry-based learning, adaptive feedback, and collaborative problem-solving in science education. Utilizing international research, it underscores the pedagogical synergies that arise when AI tools, including intelligent tutoring systems, automated assessment platforms, and AI-driven virtual laboratories, are integrated with established digital technologies. The analysis highlights the educational ramifications of this convergence, stressing equity, inclusion, teacher professional development, and the evolution of conventional classroom practices. The article examines significant challenges, encompassing ethical considerations, privacy issues, the potential for bias, and the digital divide that could restrict equitable access. The paper offers a framework for comprehending the dual capacity of AI to both enhance and undermine science education through conceptual models and structured syntheses. The conclusion issues a call to action, urging educators, policymakers, and researchers to collaborate in crafting a responsible and human-centered future in which AI is utilized not only for efficiency but also for profound learning, equity, and sustainable educational innovation.

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