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Sustainable Education and Innovative Teaching Methods

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

Deadline for manuscript submissions: 30 June 2025 | Viewed by 1207

Special Issue Editors


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Guest Editor
Department of Digital Systems, University of Thessaly, 41500 Larissa, Greece
Interests: adaptive learning technologies; AI in education; sustainability education through technology

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Guest Editor
Department of Digital Systems, University of Thessaly, 41500 Larissa, Greece
Interests: technology-enhanced collaborative learning; educational policy for technology integration; Internet of Things

E-Mail Website
Guest Editor
Department of Digital Systems, University of Thessaly, 41500 Larissa, Greece
Interests: decision support systems; fuzzy systems and logic; soft computing; multi-criteria decision making; environmental sustainability; water management and sustainability

Special Issue Information

Dear Colleagues,

This Special Issue, entitled “Sustainable Education and Innovative Teaching Methods,” focuses on advanced methodologies and state-of-the-art research concerning the integration of sustainability in education and innovative pedagogical practices. It highlights how digital tools, artificial intelligence, and machine learning can revolutionize educational systems, enhancing both the delivery and substance of sustainable education.

The contribution topics of primary interest for this Special Issue include, but are not limited to, the following:

  • Computational thinking in sustainable contexts;
  • Computational science for environmental challenges;
  • Educational robotics with a focus on sustainable development;
  • STEAM approaches to integrating sustainability;
  • Serious games and game-based learning for sustainability education;
  • Digital tools and innovations promoting sustainable practices;
  • AI and ML applications in environmental education;
  • IoT and smart technologies for educational advancements;
  • Remote lab technologies for distant learning on sustainability;
  • Case studies on policy and practice in sustainable education;
  • Contemporary pedagogical approaches to sustainability.

We are seeking submissions that not only propose new methods but also integrate these innovations within the framework of sustainability in education. Contributions may range from empirical research to theoretical models and case studies that address how these technologies can be effectively utilized to foster a sustainable future through education.

Dr. Omiros Iatrellis
Prof. Dr. Nicholas Samaras
Dr. Konstantinos Kokkinos
Guest Editors

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 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • sustainable education
  • innovative teaching
  • pedagogical methods
  • environmental sustainability
  • educational technology
  • lifelong learning
  • curriculum development
  • inclusive education
  • empirical research
  • case studies

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Published Papers (1 paper)

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Research

16 pages, 3094 KiB  
Article
Leveraging Generative AI for Sustainable Academic Advising: Enhancing Educational Practices through AI-Driven Recommendations
by Omiros Iatrellis, Nicholas Samaras, Konstantinos Kokkinos and Theodor Panagiotakopoulos
Sustainability 2024, 16(17), 7829; https://doi.org/10.3390/su16177829 - 8 Sep 2024
Abstract
This study explores the integration of ChatGPT, a generative AI tool, into academic advising systems, aiming to assess its efficacy compared to traditional human-generated advisories. Conducted within the INVEST European University, which emphasizes sustainable and innovative educational practices, this research leverages AI to [...] Read more.
This study explores the integration of ChatGPT, a generative AI tool, into academic advising systems, aiming to assess its efficacy compared to traditional human-generated advisories. Conducted within the INVEST European University, which emphasizes sustainable and innovative educational practices, this research leverages AI to demonstrate its potential in enhancing sustainability within the context of academic advising. By providing ChatGPT with scenarios from academic advising, we evaluated the AI-generated recommendations against traditional advisories across multiple dimensions, including acceptance, clarity, practicality, impact, and relevance, in real academic settings. Five academic advisors reviewed recommendations across diverse advising scenarios such as pursuing certifications, selecting bachelor dissertation topics, enrolling in micro-credential programs, and securing internships. AI-generated recommendations provided unique insights and were considered highly relevant and understandable, although they received moderate scores in acceptance and practicality. This study demonstrates that while AI does not replace human judgment, it can reduce administrative burdens, significantly enhance the decision-making process in academic advising, and provide a foundation for a new framework that improves the efficacy and sustainability of academic advising practices. Full article
(This article belongs to the Special Issue Sustainable Education and Innovative Teaching Methods)
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