Artificial Intelligence-based Scientific Inquiry

Abstract

The rapid evolution of Artificial Intelligence (AI) has ushered in transformative shifts in various sectors, with science education emerging as a pivotal domain of its influence. This study delves into the integration of AI (Google Teachable Machine) within scientific inquiry activities, examining its impact on student engagement and understanding. Through a nuanced exploration, three distinct student archetypes—Pragmatic Innovators, Foundational Explorers, and Holistic Visionaries emerged, offering insights into diverse learning trajectories in the context of AI. The findings underscore the need for adaptive pedagogical strategies that resonate with the multifaceted science learning needs of students in an AI-centric world. By proposing AI-based scientific inquiry, this study not only highlights the transformative potential of AI in reshaping science education but also charts a visionary path forward. This research serves as a seminal contribution to the academic discourse, setting the stage for a new era in science education that is both responsive and forward-thinking.