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Call for Papers - AI in smart learning for sustainable education

Guest Editors:

Stephen J.H. Yang: National Central University, Taiwan
Hiroaki Ogata: Kyoto University, Japan
Tzu-Chi Yang: National Yang Ming Chiao Tung University, Taiwan
Owen H.T. Lu: National Chengchi University, Taiwan

Submission Status: Open   |   Submission Deadline: June 30, 2023

Smart Learning Environments Journal is calling for submissions to our Collection on AI in smart learning for sustainable education. This collection intends to advocate an in-depth dialogue between researchers with a diversity of thoughts, genders, ethnicity, and cultures, as well as across disciplines, leading to a better understanding of AI in smart learning for sustainable education.

About the collection

Sustainable education is a quality education considering humanity. As we strive to develop smart learning environments, we also need to reflect appropriately on the impact of social change on education. How to provide fair and explainable analysis results to gain learners’ and teachers’ trust? How to guide them to meet challenges from both technical and organizational aspects? How to consider technological development with social value and human factors? 

The challenge for smart learning environments is incorporating educational and social changes into the design from the outset, including educating all stakeholders and providing the appropriate training. To develop the most helpful strategies for stakeholders from different perspectives, such as the content, methods, tools, systems, and training platforms. From the viewpoints of fairness, equality, diversity, inclusion, explainable, trustworthiness, and resilience, we work toward sustainable education.

Topics of interest for this special issue include, but are not limited to the following:

• Explainable AI in smart learning
• Trustworthy and responsible AI in smart learning
• Generative AI in smart learning
• Intelligent tutoring systems in smart learning
• Conversational robots in smart learning
• Differentiation and individualization in smart learning
• Intelligent assessment and evaluation in smart learning
• Data science for supporting AI in sustainable education
• Ethics of AI in sustainable education
• Fairness and equality of AI in sustainable education 
• Diversity and inclusion of AI in sustainable education
• Accountability and governance of AI in sustainable education
• The future smart learning environment in the Digital Age

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of Research Articles. Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.