Artificial Intelligence (AI) and Education

Dear Colleagues,

Computing technologies have fundamentally altered the way we live and relate to one another. The technological advancements in the post-pandemic era have significantly influenced the development of educational policy, pedagogical practices, and learning. In recent years, empirical and conceptual research has begun to examine two aspects of artificial intelligence (AI) or Generative AI (e.g., ChatGPT) in the context of education: “AI in education” and “AI education”, which are being misinterpreted and confused by educational researchers and educators yet are both emerging areas of educational research. On one hand, research of “AI in education” concerns the application of AI technologies in advancing and improving the educational practices for effective teaching and learning. It takes the advantages of advanced data sciences and learning analytics, and applies AI techniques and concepts to design and develop learning systems for personalization and better learning outcomes.

On the other hand, “AI education” is concerned with teaching and learning of AI, developing a research agenda of educational policy, curriculum design and specific contents to allow new generations to understand the foundations of AI technologies, how AI impacts the society in present and the future, and what ethical and safety implications of AI are behind the development and various applications. New learning designs and technologies are designed to assist students in understanding the abstract concepts and mechanism of AI, such as machine learning (ML), deep learning (DL), natural language processing (NLP), neural networks, and cognitive computing. The research is also interested in exploring what and how students at K-12 or beyond learn AI and develop new multiliteracies in this postdigital era.

This Topical Collection focuses on research aiming to connect educational researchers interested in AI and education, and debate about the use of AI in education and the teaching and learning of AI in schools at all levels, not limited to pre-school, elementary, secondary or pre-college. As we aim to develop a comprehensive research agenda of AI and education, we welcome submissions from diverse populations, with a particular focus on the conceptual understanding of AI development, empirical aspects of designing AI technologies for education, and school-based practices in teaching and learning of AI. Within the broad scope of this Topical Collection, prospective authors are encouraged to strengthen both the provision of theoretical foundations and the technical/practical guidelines beyond the existing research.  Moreover, it is even more provocative to consider developing advanced AI-based educational technologies to teach students the basic concept of AI, trying to embrace the possibility of AI in and for education. Educational reviews with meta-analysis and meta-synthesis are also welcome in this Topical Collection to examine the existing works and provide the future research agenda for researchers to reference.

The key topics include, but are not limited to, the following:

• AI and education
  • Policy challenges of implementing AI technologies for education and teaching and learning of AI
  • Review of educational practices and future development of educational technologies with AI
  • Analysis of teaching and learning of AI in school
  • Ethical implications of using AI in education and research trends
• AI in education
  • Design and development of AI-based educational technologies
  • Different subject learning (e.g., language, STEM, arts, business…) using AI
  • Ethics and safety of using AI in education
  • Intelligent tutoring and learning systems using AI
  • Precision and personalized education using AI
  • Learning emotion detection using AI in physical and remote classroom
• AI education
  • K-12 curriculum design of AI education at all levels
  • Learning design and pedagogical approaches in AI education
  • Assessment of learning in AI education
  • Pre-service teacher education and professional development for in-service teachers in AI education
  • Cognitive and psychosocial development of children through AI education
  • Interdisciplinary and transdisciplinary approach to AI education with other subjects, such as language, mathematics, and humanities

Prof. Dr. Gary K. W. Wong
Dr. Ho-Yin Cheung 
Collection Editors

Manuscript Submission Information

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