The Redefining Scientific Literacy through AI-Augmented Contextual Learning: Preparing Future-Ready Students in a Digital Era
Redefining Scientific Literacy Through AI-Augmented Contextual Learning for Future-Ready Student
DOI:
10.29303/ijcse.v3i4.1232Published:
2025-12-23Downloads
Abstract
The rapid evolution of Artificial Intelligence (AI) has fundamentally transformed the educational landscape, reshaping
how students learn, interact, and construct scientific understanding. This study seeks to redefine the construct of scientific literacy
through the integration of AI-augmented contextual learning, aiming to prepare future-ready students capable of thriving in an era
characterized by digital complexity and global interconnectivity. Using a mixed-methods design, this research examines the impact
of AI-assisted contextual learning—utilizing intelligent tutoring systems, adaptive simulations, and data-driven feedback
mechanisms—on students’ conceptual understanding, critical reasoning, and inquiry-based engagement in science learning.
Quantitative findings indicate that students exposed to AI-augmented environments demonstrate significantly higher retention and
application of scientific concepts compared to those taught through conventional methods. Qualitative analyses further reveal that
AI tools foster metacognitive awareness, curiosity-driven exploration, and ethical sensitivity in scientific inquiry. The study
emphasizing adaptability, creativity, and human–machine collaboration as integral dimensions of modern scientific understanding.
Keywords:
Artificial Intelligence Contextual Learning Scientific Literacy Digital PedagogyLicense
Copyright (c) 2025 Nadia Putri
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