All Workshops and Tutorials will be held on Monday, April 27th at the Sofitel
An introduction to designing engineering workflows using AI tools, incorporating new Copilot features in MATLAB, and applying low-code/no-code approaches for rapid implementation. This hands-on workshop aims to enabling educators learn about the new offerings and get access to teaching resources including modular courseware, assessments and projects.
Robotics is a powerful tool for connecting artificial intelligence, computer science, biomedical, electrical, computer, mechanical engineering, psychology, sociology, arts while sparking student excitement for STEM. However, high costs and limited resources often prevent diverse and underserved communities from accessing robotics education. This workshop addresses those barriers through Flower∞Bots, an open-source, 3D printed, modular robot designed to democratize access to STEM.
The workshop "AI with a Human Touch" brings together educators, researchers, and industry professionals to discuss how AI-driven educational strategies align with real-world needs. Participants will examine how industrial partners evaluate the effectiveness of AI-integrated curricula and how such approaches can enhance workforce readiness. Through interactive discussions, real-world case studies, and group networking activities, the workshop emphasizes cross-sector collaboration as a key enabler of sustainable innovation and ethical leadership.
The intention for this workshop is to offer a space for cross cultural and cross national exchange of contextualised views regarding enablers and barriers affecting the local buy in of an integrated and problem based approach for teaching and learning engineering. Engineering education leaders are welcomed to share their experiences and learn from each other's experiences. The workshop is envisioned to take the shape of guided group discussions, prompted by a facilitated activity.
The aim of this session is to give participants insight into the requirements of publishing educational research work in engineering education journals with a specific focus on the Journals of the IEEE Education Society - IEEE Transactions on Education, IEEE Transactions on Learning Technology and RITA, the Latin-American Journal of Learning Technologies. It will cover the areas of work and types of papers typically considered in scope for the journal and will give guidance on what is typically expected of papers submitted to each journal by the editor and the reviewers. This workshop is designed for engineering education practitioners and early career researchers looking to develop their conference papers to journal articles within the scope of the IEEE.
This tutorial aims to equip educators, academic leaders, and programme managers with the strategies and tools to design, implement, and sustain human-centred, innovation-driven Transnational Education (TNE) programmes. Drawing on over two decades of leadership in one of the UK's most established TNE partnerships, it will illustrate how strategic quality assurance, AI enabled innovation, supportive staff development, and purposeful global collaboration can collectively shape impactful and resilient international education.
The rapid acceleration of artificial intelligence has reshaped the professional landscape for engineers and technologists. As AI systems increasingly automate routine, repetitive, and even some complex tasks, the future workforce must lean into distinctly human strengths: creativity, critical thinking, ethical judgment, communication, and the ability to adapt to novel and uncertain challenges. While universities continue to provide students with essential technical training in algorithms, programming, and data science, they often struggle to adequately prepare learners for the broader human and societal dimensions of working in an AI-driven environment. The result is a growing gap between technical proficiency and the resilience, adaptability, and ethical awareness demanded by industry.
The transformation of higher education through digital technologies and artificial intelligence (AI) is reshaping how students learn and how educators teach. While these innovations offer immense potential for flexibility, personalization, and global reach, they also risk widening the digital divide if accessibility and inclusivity are not deliberately prioritized. Students with disabilities, as well as learners with diverse linguistic, cultural, and cognitive backgrounds can face barriers that limit their ability to fully participate in academic life.
This workshop explores how online and blended learning environments in engineering education can be intentionally designed to foster both durable knowledge and sustainable behavior change. Drawing on experiences from the KTH course Environmental Psychology and Behavior Analysis (LD1002), which has enrolled more than 1000 students over the past two years. We demonstrate how large-scale online education can remain human-centered, interactive, and impactful.
With the widespread growth and adoption of AI tools in society there has been a natural crossover into education, and such tools can present a great opportunity to make more efficient and effective decisions including the mining and use of the large quantities of data educational institutions hold.
Artificial Intelligence (AI) and, more specifically, Large Language Models (LLMs), are transforming higher education at an unprecedented pace, with engineering education standing at the forefront of this change. This workshop will provide a comprehensive and critical exploration of the opportunities, challenges, and future directions related to the integration of AI and LLM technologies into engineering curricula, teaching practices, and institutional policies. It will serve as an interactive platform to investigate how generative AI can augment learning, improve instructional design, and stimulate creativity-while also recognizing and addressing the associated risks and ethical complexities.
The aim of this workshop is to introduce educators, researchers, and practitioners to the upcoming IEEE P3722 standard: Guide for Responsible Artificial Intelligence (AI) in Higher Education. This standard addresses the growing need for ethical, transparent, and equitable AI practices as these technologies become increasingly embedded in academic environments. With AI tools now influencing teaching, learning, assessment, and student support, institutions face both exciting opportunities and significant challenges in ensuring that these technologies are deployed responsibly and inclusively.
This workshop will introduce participants to remote laboratories as a transformative approach to hands-on engineering education. We will present key principles of remote lab design and implementation, then demonstrate RHLab's solutions-including experiments with digital twins of real-world equipment and fictional scenarios-to illustrate practical applications. The session will also spotlight the potential of remote labs to empower institutions in the Middle East and North Africa (MENA) region, where resource disparities can limit access to sophisticated laboratory experiences.
