Artificial Intelligence in K-12 Education: An Umbrella Review (Poster 4)

• In Event: AERA Poster Session Thursday 1:45 p.m.
  In Poster Session: Advanced Technologies for Learning Poster Session 1

Abstract

This umbrella review examines the current state of artificial intelligence (AI) in K-12 education by synthesizing evidence from 92 systematic reviews. The study aims to describe the characteristics, review focuses, and quality assessments of these reviews. We found that a) most existing reviews focus on AI functions but lack attention to AI education and literacy, and AIEd theories; and b) the many review studies need to improve their data management, extraction process, analysis method, and the report of limitations. In addition, we generated a framework to guide reviews in AIEd and refined a quality assessment rubric that can be used for umbrella review in general.

Authors

• Ruiping Huang, University of Illinois at Chicago

• Na Zhou, University of Illinois at Chicago

• Yue Yin, University of illinois at Chicago

• Fei Lang, University of Illinois at Chicago

• Ying Chen, University of Illinois System

• Jeremy Riel, University of Illinois at Chicago

• Sania Z. Zaidi, Education Development Center