As AI reshapes the landscape of the world, workforce, and education, there emerges an imperative for Hybrid Intelligence—where human and AI capabilities co-evolve to achieve more than either could alone. Understanding how humans interact, learn, and work with AI across modalities is becoming essential, especially within the multiverse, where digital, physical, and augmented realities converge, unlocking new possibilities for learning, interaction, and collaboration.
Artificial intelligence (AI) is transforming how we live, work, and learn, creating significant changes in the workforce, education, and society. In education, AI is increasingly integrated to facilitate personalized learning experiences, as discussed in the OECD Digital Education Outlook 2023, which outlines the necessity for adapting pedagogical models to embrace these evolving technologies and prepare the workforce for this era. This rapid shift brings the need for Hybrid Intelligence, where humans and AI work together to achieve more than either could alone. Hybrid Intelligence combines human abilities - like creativity, empathy, and ethical thinking - with AI's computational power, precision, and data processing speed. This approach is not just about working together but evolving together.
As Hybrid Intelligence continues to develop, understanding the nature of human-AI interactions across multiple modalities becomes increasingly critical. These interactions are not limited to text and speech but extend into rich, multimodal environments where gestures, visual cues, and even emotional responses come into play. Within the multiverse - a convergence of digital, physical, and augmented realities - these evolving interactions take on new dynamics and dimensions. The multiverse brings forth opportunities to innovate how we learn, work, and collaborate. Educational environments are no longer restricted to a classroom or a digital platform; they are expanded into immersive spaces where physical and virtual worlds merge, allowing entirely new forms of interaction. These hybrid environments offer unprecedented possibilities for experiential learning, critical thinking, and collective knowledge construction. Understanding how to optimize these interactions will be key to harnessing the full potential of Hybrid Intelligence in the years to come and that is what we hope to build in our team https://www.letxresearch.com/home
About our guests
Andy Nguyen is an Assistant Professor (tenure-track) in Hybrid Intelligence: Human-AI Co-evolution and Learning in Multi-realities (HI) profiling program and working at the Learning & Educational Technology (LET) Research Lab, Faculty of Education and Psychology at the University of Oulu, Finland. He holds the title of Docent (Adjunct Professor) in Applied Artificial Intelligence at the Faculty of Information Technology and Electrical Engineering (ITEE) at the same university. He is also a Research Council of Finland (formerly Academy of Finland) Postdoctoral Research Fellow. His work has been published in well-known journals and conference proceedings in the field of Educational Technology and Information Systems (IS), including in Studies in Higher Education and the European Journal of Information Systems (EJIS) (Basket of Eight IS Journal, A*-ranked under ABDC list). He is currently a co-chair of the Advances in Teaching and Learning Technologies minitrack at Hawaii International Conference on System Sciences (HICSS), an Associate Editor of ICIS2024 “Digital Learning and IS Curricula” track, an Editorial Advisory Board Member of Artificial Intelligence in Education (Emerald), an Associate Editor of the journal of Policy Futures in Education, and an Editorial Board Member of British Journal of Educational Technology.
Belle Dang is a researcher at the Learning & Educational Technology Research Unit (LET) at the University of Oulu, where she focuses on the intersection of artificial intelligence (AI) and education. Her work investigates how AI can enhance learning environments, particularly through understanding and supporting how learners regulate their own learning processes. Her business background has shaped her interest in conducting research that not only advances theoretical understanding but also has practical applications with real-world impact.
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