Topic Editors

Department of Computing, Macquarie University, Sydney, NSW 2109, Australia
Dr. Karina Luzia
Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2000, Australia
Dr. Luke Bozzetto
Australian College of Applied Professions, Sydney, NSW 2000, Australia
Dr. Tommy Yuan
Department of Computer Science, University of York, York YO10 5GH, UK
Prof. Dr. Pengpeng Zhao
Department of Computer Science and Technology, Soochow University, Suzhou 215006, China

Explainable AI in Education

Abstract submission deadline
31 March 2025
Manuscript submission deadline
30 June 2025
Viewed by
22

Topic Information

Dear Colleagues,

This Topic will focus on the development and implementation of explainable artificial intelligence (XAI) techniques within the education sector. This Topic will highlight how XAI can enhance transparency, accountability, and trust in educational technologies. We invite contributions that explore the technical aspects of creating and applying XAI systems for personalized learning, curriculum development, and student assessment. We are particularly interested in research that addresses the technical challenges of integrating XAI in diverse educational settings and studies that illustrate how explainability in AI contributes to more effective educational outcomes. Submissions may include case studies, empirical research, theoretical analyses, or innovative methodologies. This Topic aims to equip educators, developers, and researchers with a deeper understanding of XAI’s role in advancing education, emphasizing the technical foundations and implications of these systems in academic environments. Topics include, but are not limited to, the following:

  • XAI for Real-Time Student Feedback
  • The Effectiveness of XAI in Personalized Learning Environments
  • Technological and Methodological Advances in XAI for Educational Assessments
  • XAI for Curriculum Optimization
  • XAI in Teacher Decision-Making
  • Bias Detection and Mitigation in Educational XAI Applications
  • Cross-Cultural Implementations of XAI in Education
  • Integration Challenges of XAI in Legacy Educational Systems
  • Theoretical Models for Understanding XAI in Education
  • Transparent AI Systems for Education

Technical Program Committee Member:
Charanya Ramakrishnan, Macquarie University

Dr. Guanfeng Liu
Dr. Karina Luzia
Dr. Luke Bozzetto
Dr. Tommy Yuan
Prof. Dr. Pengpeng Zhao
Topic Editors

Keywords

  • explainable artificial intelligence (XAI)
  • AI in curriculum development
  • bias mitigation in AI
  • transparent AI systems
  • AI-enabled personalized learning

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
AI
ai
3.1 7.2 2020 20.8 Days CHF 1600 Submit
Applied Sciences
applsci
2.5 5.3 2011 16.9 Days CHF 2400 Submit
Education Sciences
education
2.5 4.8 2011 24.9 Days CHF 1800 Submit
Electronics
electronics
2.6 5.3 2012 15.6 Days CHF 2400 Submit
Information
information
2.4 6.9 2010 18 Days CHF 1600 Submit

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