Exploring the Domain of AI - Driven Applications in Science Education: An Umbrella Review

• In Event: AERA Poster Session Wednesday 3:45pm
  In Poster Session: Bridging Worlds with Technology in Science Education

Abstract

While numerous reviews exist on artificial intelligence in science education, significant variations in their objectives, standards, and methodologies have led to inconsistent conclusions. To address this gap, we conducted an umbrella review encompassing 25 systematic reviews and meta-analyses. This review specifically focuses on the application of AI in formal educational settings across K-12 and university levels. Our analysis synthesizes evidence across five predominant AI application areas: robotics, machine learning/deep learning and data mining, intelligent tutoring systems, immersive technologies, and natural language processing. Findings highlight the potential of these AI technologies to enhance Science learning in formal setting. We conclude by outlining implications for educators and developers, suggesting critical directions for future research in the field.

Authors

• Yi Zheng, Hangzhou Normal University

• Yumeng Zhu, Zhejiang University

• Dan Sun, Hangzhou Normal University