The The Impact of Generative AI Applications on Student Learning Outcomes in Science Education: A Systematic Review

Abstract

This systematic literature review examines the impact of generative artificial intelligence (AI) applications on student learning outcomes in middle school science education. Twelve studies that met the inclusion and exclusion criteria were included in the study. The studies were accessed from the WOS, SCOPUS, ERIC, and TrDizin indexes and databases. The PRISMA protocol was used in the selection of studies. The analysis reveals that generative AI tools significantly contribute to academic achievement, conceptual understanding, scientific and digital literacy, personalized learning opportunities, and students' motivational and emotional outcomes. The systematic review further emphasizes the importance of integrating AI tools into science education in a pedagogically and ethically sound manner. Recommendations include increasing AI literacy among teachers, incorporating ethical awareness into instruction, and developing culturally sensitive and interdisciplinary educational practices. Generative AI stands out as a transformative technology for improving the quality, accessibility, and inclusivity of science education.