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Generative AI Literacy in Education and Innovation: Fostering Sustainable Futures

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Education and Approaches".

Deadline for manuscript submissions: 7 November 2026 | Viewed by 3264

Special Issue Editor

Special Issue Information

Dear Colleagues,

The rapid integration of Generative Artificial Intelligence (GAI) has created an urgent need to cultivate widespread GAI literacy. Despite its emergence as a significant field of study, research remains fragmented and lacks a coherent roadmap for its systematic development. This Special Issue aims to provide a robust academic platform for researchers and practitioners to explore the multifaceted dimensions of GAI literacy, thereby fostering a deeper, more nuanced understanding of its profound implications for a sustainable future.

The scope of this issue is structured around three key areas identified in the recent literature:

  • Educational Applications and Student Use, examining GAI's transformative pedagogical potential and its integration into learning environments.
  • Institutional Adoption and Human-AI Interaction, studying the dynamics of effective and ethical GAI integration within organizations.
  • Measurement and Performance Evaluation, concentrating on the development of validated instruments to assess GAI literacy and its impact.

This Special Issue connects directly and compellingly to the broader sustainability discourse, particularly aligning with the UN Sustainable Development Goal 4 (Quality Education). We strive to ensure that all individuals have access to inclusive, equitable, and lifelong learning opportunities by promoting GAI literacy. A society that is GAI-literate is more equipped to make informed and ethical decisions, and ensures that the deployment of these powerful technologies benefits social equity rather than exacerbating digital divides.

Furthermore, fostering GAI literacy is crucial for developing a future-ready workforce capable of leveraging GAI for tangible and sustainable innovation. For instance, GAI can accelerate the transition to a circular economy by generating designs for novel biodegradable materials, optimize precision agriculture to conserve water and reduce agrochemical use (addressing SDGs 2 and 6), and develop models for sustainable urban planning that enhance public health and resource efficiency (SDG 11). Ultimately, this literacy builds long-term social and educational resilience, enabling communities to adapt responsibly to technological advancements.

We welcome contributions, including theoretical frameworks, empirical studies, and practical case studies, that illuminate the critical intersection of GAI literacy and the multifaceted goals of global sustainability.

Prof. Dr. Patricio E. Ramirez-Correa
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • generative artificial intelligence
  • literacy
  • sustainability
  • education
  • human-AI interaction

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Published Papers (2 papers)

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27 pages, 813 KB  
Article
Towards a Sustainable and Ethical Integration of AI Chatbots in Higher Education
by Mirela-Catrinel Voicu, Nicoleta Sîrghi, Gabriela Mircea and Daniela Maria-Magdalena Toth
Sustainability 2026, 18(5), 2534; https://doi.org/10.3390/su18052534 - 5 Mar 2026
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Abstract
This paper examines students’ perceptions of factors influencing normative support for the integration of AI Chatbots in universities, providing an empirical basis for developing institutional policies and implementation strategies in higher education. Framed within the sustainability perspective, the study examines how ethical, cognitive, [...] Read more.
This paper examines students’ perceptions of factors influencing normative support for the integration of AI Chatbots in universities, providing an empirical basis for developing institutional policies and implementation strategies in higher education. Framed within the sustainability perspective, the study examines how ethical, cognitive, and perceptual factors shape the long-term adoption of AI technologies in academic environments. Our study employs a structural model comprising 10 constructs, 46 items, and 9 hypotheses, tested on a sample of 408 economics students from Timisoara. The research identifies AI literacy as the most influential factor in the formal integration of these technologies in universities. The following factors have a direct impact: teacher perception, student perception, and cognitive risks (reliance on AI Chatbots and avoidance of intellectual effort). Use for personalized learning is a factor with a significant direct effect on positive perceptions and intentions to use AI Chatbots among students. Academic integrity risks, as well as limitations on accuracy and reliability, have no significant impact. AI Chatbots represent an essential opportunity to transform higher education. However, their positive impact is realized only through responsible formal integration, grounded in ethical policies, adequate digital education, and the adaptation of pedagogical practices. Universities must regard AI as a strategic ally for teachers and students, while keeping human interaction, critical thinking, and academic integrity at the centre of the educational process. The study argues that students’ perceptions are that universities must approach AI Integration as a strategic component of sustainable educational ecosystems, aligning innovation with long-term academic integrity and the objectives of sustainable development, particularly Sustainable Development Goal 4 (Quality Education). Full article
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21 pages, 1438 KB  
Systematic Review
Mapping the Landscape of Generative Artificial Intelligence Literacy: A Systematic Review Toward Social, Ethical, and Sustainable AI Adoption
by Patricio Ramírez-Correa, Elizabeth E. Grandón and Ari Melo Mariano
Sustainability 2026, 18(3), 1429; https://doi.org/10.3390/su18031429 - 31 Jan 2026
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Abstract
The rapid expansion of generative artificial intelligence across educational, professional, and societal domains has intensified the need for a clear understanding of generative artificial intelligence literacy. Although scholarly interest in this topic has grown substantially in recent years, existing research remains dispersed across [...] Read more.
The rapid expansion of generative artificial intelligence across educational, professional, and societal domains has intensified the need for a clear understanding of generative artificial intelligence literacy. Although scholarly interest in this topic has grown substantially in recent years, existing research remains dispersed across disciplines, limiting both theoretical consolidation and practical guidance. This study maps the scientific literature on generative artificial intelligence literacy by identifying its underlying thematic structure. A systematic literature review was conducted following PRISMA 2020 guidelines. We retrieved 40 peer-reviewed journal articles published between 2023 and 2025 from the Web of Science and Scopus databases. Topic modeling using Latent Dirichlet Allocation was applied to the full texts, with inter-rater reliability validation achieving substantial agreement (Cohen’s kappa = 0.78). The analysis revealed four interrelated thematic areas: ethical foundations (40%), educational use (32.5%), adoption and interaction (12.5%), and evaluation (15%). Geographic analysis showed notable concentration in Asia (50%) and educational settings (47.5%), with limited representation in healthcare, government, and industry sectors. Two critical gaps emerged: the scarcity of validated measurement instruments and a persistent disconnect between expert ethical frameworks and users’ ethical awareness. These findings provide a structured foundation for researchers, educators, and policymakers to develop evidence-based interventions and support the sustainable adoption of generative artificial intelligence technologies. Full article
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