Sustainable Transformation with AI in Education for Teaching and Learning Enhancement
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Education and Approaches".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 391
Special Issue Editors
Interests: social network analysis; HCI; instructional systems
Special Issue Information
Dear Colleagues,
In the era of artificial intelligence (AI) being integrated into various aspects of education, this Special Issue aims to showcase a broad range of empirical evidence to enhance teaching and learning while promoting sustainable transformation in education. This Special Issue seeks to explore sustainable approaches to adopting intelligent tutoring systems, the benefits and challenges of implementing smart classrooms and campuses, opportunities for personalized learning, and the potential barriers and risks associated with AI adoption. Specifically, a thorough discussion on how AI drives educational equity, interdisciplinary integration, or green skills development through long-term scalable models is welcome. Other contributions may explore how AI-driven personalized learning reduces resource waste and enables sustainable allocation of educational resources, or how intelligent tutoring systems can build long-term adaptive teaching models across cultural contexts.
By positioning AI as a catalyst for long-term systemic transformation, the issue aims to bridge the gap between short-term technological applications and the Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities).
The existing literature often focuses on the short-term effects of AI in teaching. This Special Issue could emphasize the sustainability dimension (e.g., lifelong learning systems and intergenerational impacts of digital inclusion) to fill the research gap between "technological application" and "sustainable development of educational ecosystems". For example, compared to traditional teaching models, how does an AI-supported "lifelong learning platform" achieve long-term accumulation of educational value through data-driven continuous optimization? How do interdisciplinary cases (e.g., AI applications in healthcare or finance education) provide cross-sectoral methodological insights for sustainable educational transformation?
In addition, by considering cultural and societal factors, the issue aims to address educational equity. This broadens the discussion on sustainable transformation in education with AI through a systems thinking approach, covering topics such as lifelong learning, green skills, digital inclusion, interdisciplinary education, and civic and ethical engagement. The scope of this Special Issue may also extend to diverse fields: Environmental sustainability: studies on AI-reduced resource waste (e.g., energy-efficient smart campuses, paperless adaptive learning). Social sustainability: cross-cultural analyses of AI-driven educational equity. Economic sustainability: interdisciplinary case studies (e.g., AI in healthcare/finance education) that demonstrate scalable, job-relevant skill development for future-proofing economies.
By grounding AI innovation in sustainability principles, this Special Issue aims to establish a scholarly foundation for responsible, equitable, and future-ready educational practices. We invite contributions that challenge conventional wisdom, propose scalable solutions, and demonstrate how AI can drive not just technological change, but lasting transformation for people and the planet.
Specifically, global case studies, experimental research, field observations, and surveys are highly encouraged, as they often require substantial effort to conduct in clinical or real-world settings and provide valuable data for an international audience. Comparative analyses are also appreciated, as they offer meaningful insights, help readers contextualize findings locally, and contribute to both academic discourse and practical implementation.
Dr. Pei-Hsuan Hsieh
Dr. Rehan Akbar
Guest Editors
Manuscript Submission Information
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Keywords
- sustainable education
- education transformation
- digital education
- digital transformation
- EdTech innovation
- AI in education
- AI-powered education
- personalized learning
- smart campus
- smart classroom
- intelligent tutoring systems
- education equity
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