Welcome to the Journal of Learnomics
The Journal of Learnomics is a leading publication dedicated to the exploration and advancement of personalized 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 papers that contribute to the understanding and application of Learnomics in educational settings.
About the Journal
The Journal of Learnomics provides a platform for researchers, educators, technologists, and industry leaders to share their findings and insights on the intersection of AI and personalized learning. We publish original research articles, review papers, case studies, and theoretical discussions that push the boundaries of knowledge in this emerging field.
Key Areas of Focus:
- Multi-Modal Data Integration in Education
- AI-Driven Personalized Learning
- Real-Time Adaptation and Feedback Mechanisms
- Ethical Considerations in Educational AI
- Case Studies and Practical Implementations
- Theoretical Frameworks and Models in Learnomics
Call for Papers
We invite submissions from researchers and practitioners who are 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 personalizing 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- Manuscripts should be original, unpublished work and not under consideration for publication elsewhere.
- Submissions should be formatted according to the journal’s guidelines, available on our submission page.
- All manuscripts will undergo a rigorous peer-review process to ensure the highest standards of quality.
Important Dates:
- Submission Deadline: 31 October 2024
- Notification of Acceptance: 15 January 2025
- Publication Date: 1 March 2025
Editorial Board
The Journal of Learnomics boasts a distinguished editorial board comprising leading experts in AI, education, data science, and ethics. Our editors are committed to maintaining the highest standards of scholarly excellence and integrity.
Editor-in-Chief: Dr Zam, Chief Research Officer, Institute of AI in Education (IAIED), Singapore
Current Issue
Explore the latest research and developments in Learnomics in our current issue. This edition features groundbreaking studies, insightful reviews, and thought-provoking case studies that highlight the transformative potential of AI in education.
Featured Articles:
- “Integrating Multi-Modal Data for Personalized Learning: A Comprehensive Review”
- “AI-Driven Adaptation: Enhancing Student Engagement and Achievement”
- “Ethical Considerations in Educational AI: Balancing Innovation and Responsibility”
- “Case Study: Implementing Learnomics in a K-12 Setting”
Archive
Access past issues of the Journal of Learnomics to explore a wealth of knowledge and insights from pioneers in the field. Our archive provides a comprehensive repository of research that chronicles the evolution of Learnomics and its impact on education.
Subscribe
Stay up-to-date with the latest advancements in personalized learning and AI by subscribing to the Journal of Learnomics. Subscribers receive access to all current and past issues, as well as exclusive content and updates on upcoming conferences and events.
Contact Us
For more information about the Journal of Learnomics, submission guidelines, or subscription inquiries, please contact us at:
Email: journal@mylearnomics.com
Join us in shaping the future of education through innovation and collaboration. Submit your research, subscribe to our journal, and be a part of the Learnomics revolution.