Call for papers: K-12 AI Education

Guest Editors

Ning Wang, Institute for Creative Technologies, University of Southern California, USA

James Lester, Center for Educational Informatics, North Carolina State University, USA

Motivation and Scope

It is widely recognized that AI is beginning to profoundly impact society around the globe. These developments are introducing new opportunities, presenting new risks, and fundamentally reshaping the current and future workforce. As such, we must now answer critically important questions: How can we prepare K-12 students for an AI-permeated future? How do K-12 students conceive of AI and what do they need to know to be effective consumers of AI technologies. What competencies do K-12 students need to acquire to be prepared for workplaces where human-AI teaming is the norm? What do future knowledge workers, including but not limited to those in STEM, need to learn in primary and secondary school to set the stage for their careers, which will no doubt require the ability to effectively interact with AI tools? How can K-12 education best prepare future AI developers, engineers, and researchers?

While the field of “AI in Education” has long focused on creating innovative AI technologies to support human learning, the goal of this special issue to stimulate discussion of “AI Education for K-12” i.e., educating K-12 students about AI. In a manner that is analogous to how we educate K-12 students about science or history, we now must develop curricula, pedagogies, and learning technologies (perhaps including AI-based learning technologies) to support AI K-12 education. This special issue seeks contributions that address core challenges in how to envision, design, develop, and implement AI K-12 education. We are particularly interested in submissions from highly interdisciplinary teams spanning AI and the learning sciences that report on emerging results including but not limited to the areas noted below:

  • Standards for AI K-12 education
  • Curricula for AI-12 education, especially those integrating AI with STEM education more broadly
  • Ethics in AI K-12 education
  • Empirical findings from AI-12 classroom studies
  • Professional development for AI K-12 education
  • Learning progressions for AI K-12 education
  • AI-based learning environments for AI K-12 education
  • AI education in informal settings

Important Dates

  • Extended Abstracts (1,000 words): August 20, 2020
  • Feedback on Abstracts: August 31, 2020
  • Submission of Manuscripts: October 30, 2020
  • Reviews Due to Authors: January 15, 2021
  • Revisions Due: March 15, 2021
  • Second Round of Reviews to Authors: May 15, 2021
  • Final Manuscripts Due: June 15, 2021

Submission Instructions:

Submissions can be made through the journals Editorial Manager system, following the journal's submission guidelines.

Please send abstracts and direct inquiries to Ning Wang ( and James Lester (