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All sessions are available online except round tables, special activities, and workshops.
Wednesday October 7, 2026 2:15pm - 2:45pm EDT
ID: 31135

An Erasmus-supported collaboration between Mount St. Joseph University (United States) and Laurea University of Applied Sciences (Finland) brings multidisciplinary students together to explore artificial intelligence and digital innovation through international, project-based learning. In shared courses offered across both institutions, students work in global teams during the semester to design and prototype AI-related projects that address real-world problems. Through this project-based learning model, students engage in iterative design, collaborative problem solving, and reflective discussion about the social and ethical implications of artificial intelligence. These collaborations culminate in intensive project weeks in which students travel between campuses, refine their ideas through collaborative workshops, and present their work to international audiences. The partnership emphasizes experiential learning, cross-cultural collaboration, and the development of practical solutions to emerging technology challenges. Through these experiences, students gain exposure to different educational systems, technological perspectives, and cultural approaches to innovation while developing skills in teamwork, communication, and applied AI literacy.This session foregrounds the role of international academic exchange in shaping these learning experiences. The Erasmus partnership allows students to move beyond virtual collaboration and participate in short-term study-abroad exchanges where they work together in person during intensive project weeks. These exchanges provide opportunities for students to experience different educational cultures, develop intercultural communication skills, and engage directly with peers from other national contexts. For institutions seeking to integrate emerging technologies into global learning initiatives, the project offers a model for combining study-abroad programming, collaborative coursework, and interdisciplinary innovation.As part of this collaboration, students also contribute to the development of open educational resources (OER) designed to support educators navigating generative artificial intelligence in teaching and learning. Working alongside faculty mentors, students translate their project experiences into openly licensed teaching materials that provide practical guidance on ethical AI use, assignment design, and responsible integration of AI tools. Because these materials are openly licensed, they can be freely shared, adapted, and improved by educators around the world. In this way, OER not only disseminates the outcomes of the project but also creates opportunities for ongoing global collaboration, enabling educators in different countries to build upon shared materials and contribute new perspectives and practices.These student-generated resources are informed by a qualitative study examining how K–12 teachers are currently navigating generative artificial intelligence in their classrooms. Interviews with teachers across subject areas and school contexts reveal how educators are redesigning assignments, establishing boundaries for acceptable AI assistance, and negotiating new expectations for academic integrity as student AI use expands. These insights help ensure that the resulting OER materials address real classroom needs rather than abstract policy debates.This presentation will be of particular interest to educators and program leaders interested in global exchanges, short-term study abroad, and international collaborative learning. By connecting student mobility, project-based learning, and open educational resource development, the project demonstrates how global partnerships can create meaningful learning experiences while contributing openly licensed teaching materials that support educators navigating generative AI in classrooms worldwide.
Speakers
avatar for Rebecca J. Allen

Rebecca J. Allen

Chair of Department of Computer Science and Mathematics, Mount St. Joseph University
Rebecca J. Allen, PhD, is Assistant Professor and Chair of Computer Science and Mathematics at Mount St. Joseph University. Her interdisciplinary research focuses on artificial intelligence in education, participatory research, and open educational resources that support equitable... Read More →
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Brook Batch

Asst. Professor, Mount St. Joseph University
Dr. Brook Batch is an Assistant Professor of Social Computing at Mount St. Joseph University. Her research explores the intersection of technology and education, with a focus on computing education, students’ development of research and writing practices, and the use of generative... Read More →
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Tero Uusitalo

Senior Lecturer, Laurea University of Applied Sciences
MSc Tero Uusitalo is a Senior Lecturer in the Business Management Department at Laurea University of Applied Sciences. His research focuses on working life connected pedagogy, international research, development and innovation as well as the development and application of artificial... Read More →
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Taru Tallgren

Senior Lecturer in Degree Programme in Business Management, Laurea University of Applied Sciences
Taru Tallgren is a Senior Lecturer in the Business Management Department at Laurea University of Applied Sciences. Her research focuses on working‑life‑connected and coaching‑based pedagogy, as well as pedagogical innovations that support flexible open learning models and equitable... Read More →
Wednesday October 7, 2026 2:15pm - 2:45pm EDT
2 Room M MIT Samberg Conference Center, 50 Memorial Drive, Cambridge MA 02139 USA

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