Artificial Intelligence (AI) in Education: Transforming Teaching and Learning

Closes:
Journal
Information and Learning Sciences
Guest editor(s)
Dania Bilal, Jiangen He, Jiqun Liu,

Artificial Intelligence (AI) can potentially revolutionize various aspects of society, including education. With its ability to analyze large amounts of data and learn from it, AI can enhance the effectiveness of teaching and learning, increase efficiency, and provide personalized education to learners, from intelligent tutoring systems and adaptive learning platforms to chatbots. Virtual assistants, and ChatGPT, AI-based technologies, are transforming the learning and educational landscape.

Integrating AI in education can improve student outcomes, increase access to education, provide more personalized learning experiences, and promote lifelong learning for all. However, AI has ethical, social, political, cultural, legal, and economic challenges; and raises concerns about data privacy, equity, biases, ethics, safety, transparency, and the role of human teachers or educators in the classroom. This topic is of utmost importance as AI can shape the future of education, impacting the workforce, economy, and society. In this context, it is crucial to understand AI's opportunities and challenges in education to maximize the benefits and minimize the potential risks or harms to individuals and communities. 

This special issue focuses on Artificial Intelligence in Education covering K-12 to higher education. This issue draws attention to how AI is transforming teaching and learning. This issue's editors are interested in original papers investigating AI in teaching and learning from single or interdisciplinary perspectives, such as information science, education, learning sciences, humanities, psychology, computer science, and artificial intelligence.

The editors of this special issue will welcome research on fundamental theories, empirical investigations, innovative systems, and influential applications of AI in education.

Key Dates

Item 

Date 

Submission Due

October 31, 2023 

First Reviews Completed 

Jan. 5, 2024

First Revisions Due (as needed) 

Feb. 28, 2024 

Second Reviews Completed (as needed) 

March 31, 2024 

Second Revisions Due (as needed) 

April 20, 2024 

Publication of Issue 

July/August, 2024 

  

Contributions are invited on, but not restricted to, the following themes:

  • AI education in iSchools and library and information science programs
  • AI in K-12 Education
  • ChatGPT and other generative AI tools in education
  • New theories, models, or frameworks for integrating AI into education
  • AI literacy
  • Democratizing AI in education
  • User interactions with AI-assisted systems in education
  • AI in informal learning
  • Large language models (LLMs) in AI-assisted education
  • Multimodal AI applications in education
  • Societal impacts and ethical concerns of applying AI in education
  • AI application in promoting personalized or precision education
  • AI applications or tools in physical classroom settings
  • Intelligent tutoring applications or systems
  • AI for advancing Diversity, Equality, Inclusion, and Accessibility (DEIA) in education
  • AI and student engagement and learning
  • AI and mitigation of potential harms, risks, biases, and drawbacks in education


Guest Editors

Dania Bilal, School of Information Sciences, The University of Tennessee-Knoxville.

Jiangen He, School of Information Sciences, The University of Tennessee-Knoxville

Jiqun Liu, School of Library and Information Studies, The University of Oklahoma

 

For inquiries we invite you to email the guest editors via Dr. Bilal at: [email protected]

Author Guidelines

Submit Manuscript