The Journal of Learnomics is a leading academic publication dedicated to advancing the field of personalised learning through the integration of multi-modal data and artificial intelligence. Our mission is to foster innovation in education by disseminating high-quality research, case studies, and theoretical contributions that enhance the understanding and application of Learnomics in educational settings.

About the Journal

The Journal of Learnomics provides a collaborative platform for researchers, educators, technologists, and industry leaders to share their findings and insights at the intersection of AI and personalised learning. Our focus is on pushing the boundaries of knowledge in this emerging field by publishing:

  • Original research articles.
  • Comprehensive review papers.
  • Practical case studies.
  • Thought-provoking theoretical discussions.

Key Areas of Focus

We explore a wide range of topics critical to the development of Learnomics, including:

  • Multi-Modal Data Integration in Education: Leveraging diverse data types (e.g., cognitive, behavioural, and environmental) to personalise learning.
  • AI-Driven Personalised Learning: Developing systems that adapt to individual learner needs in real time.
  • Real-Time Adaptation and Feedback Mechanisms: Using AI to optimise learner engagement and achievement.
  • Ethical Considerations in Educational AI: Balancing innovation with responsibility in applying AI in education.
  • Case Studies and Practical Implementations: Demonstrating Learnomics in real-world contexts.
  • Theoretical Frameworks and Models in Learnomics: Advancing the conceptual foundations of personalised learning.

Call for Papers

We invite submissions from researchers and practitioners engaged in cutting-edge work related to Learnomics. Topics of interest include, but are not limited to:

  • Innovative methodologies for collecting and integrating multi-modal data in educational contexts.
  • AI techniques for personalising learning experiences and enhancing learner outcomes.
  • Case studies demonstrating the application and impact of Learnomics in real-world settings.
  • Ethical implications and best practices for the use of AI in education.
  • Theoretical advancements and conceptual frameworks that underpin Learnomics.

Submission Guidelines

  • Manuscripts must be original, unpublished work and not under consideration for publication elsewhere.
  • Submissions should adhere to the journal’s formatting and submission guidelines, available on our website.
  • All manuscripts undergo a rigorous peer-review process to ensure scholarly excellence.

Editorial Board

Editor-in-Chief

Dr Zam
Chief Research Officer, Arete Professor
Institute of AI in Education (IAIED), Singapore
Email: editor@mylearnomics.com

Dr Zam is a renowned researcher and educator specialising in artificial intelligence, personalised learning systems, and educational innovation. With a vision to bridge the gap between technology and education, Dr Zam leads the Journal of Learnomics to foster global collaboration and knowledge sharing.

Editorial Board Details

The journal is currently led by Dr Zam, with plans to expand the editorial board to include distinguished experts in AI, data science, education, and ethics. If you are interested in joining the editorial board, please contact us at editor@mylearnomics.com.

Subscribe

Stay ahead of the curve by subscribing to the Journal of Learnomics. Subscribers gain:

  • Access to all current and past issues.
  • Exclusive updates on upcoming conferences and events.
  • Insights into the latest advancements in personalised learning and AI.

Contact Us

For more information about the Journal of Learnomics, submission guidelines, or subscription inquiries, please contact us at:

Join the Learnomics Revolution

Be a part of the journey to shape the future of education through innovation and collaboration. Submit your research, subscribe to the journal, and contribute to advancing personalised learning through Learnomics!