Challenges in intercultural leadership: An overview of the SHUTTLE project and the incorporation of AI in an HE context
DOI:
https://doi.org/10.29329/pedper.2025.155Keywords:
Education 5.0, Artificial Intelligence, Digital EthicsAbstract
Intercultural leadership and its subset of intercultural communicative leadership in Education 5.0 is the ability to effectively navigate one’s self and others through cultural differences as well as integrate technology, artificial intelligence (AI), personalized learning, and digital ethics to create learner-centered environments. Educators today are often eager to incorporate AI into their daily plans yet many are unaware of the potential inaccuracies and discrepancies inherent to AI. Issues regarding fairness, privacy and bias being hardwired into any potential AI system are concerns that need to be properly analyzed and addressed in order to mitigate against unintended consequences and ensure that such tools are not causing harm or being abused. However, despite these potential risks, current research regarding AI use in HEIs argues that the technology is simply “too good to not use”. This article will present an overview of the Erasmus+ SHUTTLE project, which aims to explore how AI-powered computing systems can extend or augment the possibilities of teaching, learning, and research while doing so ethically, responsibly, and humanely. Primarily, this article will discuss and draw attention to issues pertaining to intercultural communicative leadership and the ethical creation of learner-centered environments in an HE context. A summary of the SHUTTLE project and its completed outputs will be highlighted as well as a review of pertinent literature and available AI tools followed by relevant methodology for incorporating AI within an HE context.
References
Ahmad, S.F., Han, H., Alam, M.M. et al. (2023). Impact of artificial intelligence on human loss in decision making, laziness and safety in education. Humanit Soc Sci Commun 10, 311. https://doi.org/10.1057/s41599-023-01787-8
Carroll, A.J., & Borycz, J., (2024). Integrating large language models and generative artificial intelligence tools into information literacy instruction. The Journal of Academic Librarianship, Volume 50, Issue 4. https://doi.org/10.1016/j.acalib.2024.102899
Carroll, A.J., & Borycz, J. (2024). The 5I’s: A Conceptual Framework for the Limitations of Large Language Models for Information Seeking. Licensed under CC-BY-NC 4.0. Research Solutions. Ethical AI in Academia: The Librarian’s Role in Shaping Responsible Use [Video] 2025. https://www.youtube.com/watch?v=UMK_O9e4gPw
Carvalho, L., (2023 February 22). Education 5.0: What Does It Mean? How Does It Work? Sydle. https://www.sydle.com/blog/education-5-0-61e71a99edf3b9259714e25a
Cheng, C., Chen, C., & Fu, C. (2020). Artificial intelligence-based education assists medical students’ interpretation of hip fracture. Insights Imaging, 11(1). https://doi.org/10.1186/s13244-020-00932-0
Chigbu, B.I. & Makapela, S.L, (2025). AI in education, sustainability, and the future of work: An integrative review of industry 5.0, education 5.0, and work 5.0. Journal of Open Innovation: Technology, Market, and Complexity, Volume 11, Issue 4. https://doi.org/10.1016/j.joitmc.2025.100645
Dai, D. & Hua, Z. (2024). When AI meets intercultural communication: new frontiers, new agendas. Applied Linguistics Review. https://doi.org/10.1515/applirev-2024-0185
de Souza, A.S.C & Debs, L., (2024). Concepts, innovative technologies, learning approaches and trend topics in education 4.0: A scoping literature review, Social Sciences & Humanities Open, Volume 9. https://doi.org/10.1016/j.ssaho.2024.100902
Engle, J., (2025 April 24). Are Students Cheating When They Use A.I. for Their Schoolwork? The New York Times. https://www.nytimes.com/2025/04/24/learning/are-students-cheating-when-they-use-ai-for-their-schoolwork.html?searchResultPosition=22
EU High-Level Expert Group on Artificial Intelligence, (2019) Ethics Guidelines for AI. European Commission, Brussels.
https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai
Foster, J., (2021 October 13). Language Models. Medium. https://medium.com/ingeniouslysimple/language-models-15e45dce0805
Gerlich, M. (2025). AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking. Societies, 15(1), 6. https://doi.org/10.3390/soc15010006
Goldstein, D., (2025 April 14). Teachers Worry About Students Using A.I. But They Love It for Themselves. The New York Times. https://www.nytimes.com/2025/04/14/us/schools-ai-teachers-writing.html
Gomstyn, A., Jonker, A., McGrath, A., (2025). What is Trustworthy AI? IBM. https://www.ibm.com/think/topics/trustworthy-ai#:~:text=Trustworthy%20AI%20refers%20to%20artificial,among%20stakeholders%20and%20end%20users.
Hamedani, S., Aslam, S., Oraibi, B.A.M., Wah, Y.B., Hamedani, S., (2024). Transitioning towards Tomorrow’s Workforce: Education 5.0 in the Landscape of Society 5.0: A Systematic Literature Review. Education Sciences. 14(10):1041. https://doi.org/10.3390/educsci14101041
Hill, K., (2025 May 14). The Professors Are Using ChatGPT, and Some Students Aren’t Happy About It. The New York Times. https://www.nytimes.com/2025/05/14/technology/chatgpt-college-professors.html?searchResultPosition=58
Holtermann, C., (2025 May 17). A New Headache for Honest Students: Proving They Didn’t Use A.I. The New York Times. https://www.nytimes.com/2025/05/17/style/ai-chatgpt-turnitin-students-cheating.html?searchResultPosition=11
Liu, R., Zhao, J., Xu, B., Perez, C., Yuliia Zhukovets, Y., & Malan., D. J., (2025). Improving AI in CS50: Leveraging Human Feedback for Better Learning. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE TS 2025), February 26-March 1, 2025, Pittsburgh, PA, USA. ACM, New York, NY, USA. https://doi.org/10.1145/3641554.3701945
Ontotext (2025). What Is a Large Language Model? Ontotext.
https://www.ontotext.com/knowledgehub/fundamentals/what-is-a-large-language-model/
Prouty, H., (2023 December 12). Building Trust in AI Needs a Human Touch. The 360 Blog.
https://www.salesforce.com/blog/ai-and-human-touch/
Saha, S. & Feizi, S., (2025). Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing. 10.48550/arXiv.2502.15666 https://doi.org/10.48550/arXiv.2502.15666
SHUTTLE (2025). Multidimensional Inclusive Pedagogical Learning Framework. Transnational Report: Part 1. SHUTTLE: Sharing Future Learning Environments in Higher Education and Lifelong Learning. Erasmus+ Cooperation Partnerships (Key Action 2) Grant agreement number 2024-1-PL01-KA220-HED-000256359.
https://www.pans.nysa.pl/uploads/projekty/pliki/SHUTTLE_Report_Part_1.pdf
SHUTTLE (2025). The Visual SHUTTLE Framework. Transnational Report: Part Two. SHUTTLE: Sharing Future Learning Environments in Higher Education and Lifelong Learning. Erasmus+ Cooperation Partnerships (Key Action 2) Grant Agreement2024-1-PL01-KA220-HED-000256359.
https://www.pans.nysa.pl/uploads/projekty/pliki/SHUTTLE_Report_Part_2.pdf
SHUTTLE (2025). The SHUTTLE Curated OERs for Transformational Leadership - Transnational Report: Part Three. SHUTTLE - Sharing Future Learning Environments in Higher Education and Lifelong Learning. Erasmus+ Cooperation Partnerships (Key Action 2) Grant Agreement: 2024-1-PL01-KA220-HED-000256359
https://www.pans.nysa.pl/uploads/projekty/pliki/SHUTTLE_Report_Part_3.pdf
SHUTTLE (2025). SHUTTLE Guidelines for Trainers. Transnational Report: Part Four. SHUTTLE: Sharing Future Learning Environments in Higher Education and Lifelong Learning. Erasmus+ Cooperation Partnerships (Key Action 2) Grant Agreement: 2024-1-PL01-KA220-HED-000256359
https://www.pans.nysa.pl/uploads/projekty/pliki/SHUTTLE_Report_Part_4.pdf
Stryker, C., (2025). What are large language models (LLMs)? IBM. https://www.ibm.com/think/topics/large-language-models
Sydle (2021 November 10). What’s Machine Learning? What Is It For? Sydle. https://www.sydle.com/blog/machine-learning-618c015a3885651fa2eea7e8
Toncelli, R., & Kostka, I. (2024). A love-hate relationship: Exploring faculty attitudes towards GenAI and its integration into teaching. International Journal of TESOL Studies, Volume 6, Number3. https://doi.org/10.58304/ijts.20240306
U.S. Department of Education, Office of Educational Technology, (2023). Artificial Intelligence and Future of Teaching and Learning: Insights and Recommendations, Washington, DC. https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf
Webb, R., Şenaydın, F., (2025). Generative AI in English Language Teaching: Students’ Voices, Teachers’ Reactions, and Needs. TESL-EJ. November 2025 – Volume 29, Number 3. https://doi.org/10.55593/ej.29115int3
Webb, R., (2025, May). Pandora's box has been opened: AI in English language teaching. What do teachers need to consider? Keynote speech presented at the TTST Conference, Charles University, Prague, Czech Republic.
Zverinova, J., (2025). Use of Generative AI in University Studies. Proceedings of TEEM, 2025 (to be published in Springer, 2026). https://2025.teemconference.eu/
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