HI Lights 2 seminar: Understanding learning processes for Hybrid Intelligence

HI Lights 2 seminar: Understanding learning processes for Hybrid Intelligence dives into learning processes in a world assisted by AI. How can Hybrid Intelligence and AI enhance our learning processes?

Seminar with international experts highlights the importance of understanding and supporting the highly complex interactions among teachers, students, and AI systems - and the need for educators and learners to develop both AI literacy and explore its applications. Also, with children’s and youth’s increasing everyday interactions with data intensive and AI-based systems, how do we promote critical perspectives and reflections towards everyday technology use?

Please register to th event by 29th of October here.

Programme:

8:30 - 9:00 Welcome Coffee
Participants arrive and network with coffee.

9:00 - 9:15 Opening Remarks
by Prof. Sanna Järvelä, leader of Hybrid Intelligence research programme, University of Oulu
Brief introduction to the event and agenda.

9:15 - 10:15 Keynote: Supporting human-AI co-creation through formative interventions for preservice and inservice teachers by Prof. Margarida Romero, Universitat Internacional de Catalunya, Université Côte d´Azur

10:30 - 12:00 Live demonstration of Learning with AI in Multi-Realities & Theme talks

• Theme talk: Human-AI Collaboration & Shared Regulation in Learning by Andy Nguyen, Assistant Professor, Hybrid Intelligence research programme, University of Oulu

• Theme talk: Youth's critical reflections on AI and data literacy - envisioning ethical futures together by Sumita Sharma & Eva Durall Gazulla, postdoctoral researchers, INTERACT research group, University of Oulu

12:00 - 13:00 Lunch Break & networking
Buffet lunch @LeaF

13:00 - 14:00 Keynote: Understanding and Supporting Complex Interactions of AI-Supported Classroom Teaching and Learning by Assist. Prof. Tomohiro Nagashima, Universität des Saarlandes | UKS

14:00 – 14:15 Afternoon coffee

14:15 - 15:00 Panel discussion
Keynote speakers & Oulu HI members

15:00 - 15:15 Closing remarks
Assist. Prof. Andy Nguyen & Prof. Hanna Järvenoja, Hybrid Intelligence research programme, University of Oulu

Warmly welcome! Please register to th event by 28th of October here.

About keynote speakers

Margarida Romero

Margarida Romero is an Associate Professor at Universitat Internacional de Catalunya and Full Professor at Université Côte d´Azur. After starting her career at the Universitat Autonoma de Barcelona, where she was awarded the best doctoral thesis in psychology, she continued her career in Canada and France. She coordinates the #Scol_IA Working Group on the educational challenges of artificial intelligence in education and co-directs the international MSc SmartEdTech program. Her research focuses on the study of transversal competencies, particularly in relation to computational thinking and creative problem-solving.

Talk abstract: Supporting human-AI co-creation through formative interventions for preservice and inservice teachers

Artificial intelligence (AI) has the potential to support some of the teaching and learning processes, but to realize this potential, educators and learners must develop both AI literacy and explore its applications. This will enable the teachers to decide which are the potential uses, but also the regulations they want to consider in their teaching and learning activities. Despite human-AI collaboration can support some aspects of the teaching and learning processes, ethical and educational concerns should be considered in the teachers’ decision making on the way to use, or not, artificial intelligence.

We engage preservice and inservice teachers in a formative intervention in collaboration with Terra Numerica and Maison de l'Intelligence Artificielle (MIA), two communities aiming to support computer science outreach and lifelong learning. We develop the formative interventions in three phases. The first one, aims to enhance their understanding of AI through a playful approach in which the teachers explore different AI tools at the MIA.

In the second phase, they cocreate a learning activity integrating AI elements of their choice according to their learners’ needs and the #ppAI6 model for creative engagement in human-AI collaboration. At the end of the formative intervention, participants reflect on AI's potential in teaching and learning by exploring different activities that can integrate AI literacy in education, including its ethical considerations and potential for innovative pedagogy. The approach emphasises not only acculturating professionals to AI but also empowering them to collaboratively design AI-enhanced educational activities that promote learner engagement and personalised learning experiences. Through this process, participants in the workshops develop their AI literacy, while being encouraged to develop their critical thinking and those of their learners when integrating AI in their teaching and learning activities.

Tomohiro Nagashima

Prof. Dr. Tomohiro Nagashima is a Tenure-Track Assistant Professor of Technology-Enhanced Learning in the Department of Computer Science at Saarland University, Germany, and Faculty Associate at Harvard University's Berkman Klein Center for Internet and Society in the US. He conducts interdisciplinary research at the intersection of the Learning Sciences, Human-Computer Interaction, and Cognitive Science to better understand and support school students' cognitive and self-regulated learning processes in STEM domains using advanced learning technologies. He closely works with teachers and students in schools to conduct participatory research in Europe, North America, and East Asia. He holds a Ph.D. in Human-Computer Interaction from Carnegie Mellon University (USA) and M.A. in Education from Stanford University (USA).

Talk abstract: Understanding and Supporting Complex Interactions of AI-Supported Classroom Teaching and Learning

As AI-based, advanced technologies have increasingly been integrated into school classrooms, we (as researchers and practitioners) have realized the importance of understanding and supporting the highly complex interactions among teachers, students, and AI systems in such an environment. In this talk, I will highlight some recent work that illustrates the complex interactions among these stakeholders in the classroom environment, where contextual and individual factors also affect how teachers and students interact with AI systems. Then we will discuss how these complex interactions in the classroom can be better supported through interdisciplinary approaches and close collaborations with practitioners.

Andy Nguyen

Andy Nguyen is a tenure-track Professor (Assistant) in Hybrid Intelligence research programme at the University of Oulu. He is currently a Research Council of Finland postdoctoral researcher working at the Learning and Educational Technology (LET) Research Lab, Faculty of Education and Psychology. I also hold the title of a Docent (Adjunct Professor) at the Oulu Advanced Research on Service and Information Systems research group, Faculty of Information Technology and Electrical Engineering (ITEE). His multidisciplinary areas of research interest include: Artificial Intelligence in Education (AIED), Design Sciences Research (DSR), Systems Design, Multimodal Data Analytics, Learning Analytics, Digital Inclusion, and Decision Support Systems. He is currently a co-chair of Advances in Teaching and Learning Technology mini-track at the Hawaii International Conference on System Sciences (HICSS), an Associate Editor of ICIS2024 “Digital Learning and IS Curricula” track, an Associate Editor of the journal of Policy Futures in Education, and an Editorial Board Member of British Journal of Educational Technology.

Sumita Sharma & Eva Durall Gazulla

Eva Durall Gazulla is a postdoctoral researcher, INTERACT research group, University of Oulu. In her work she explores the relations between learning and technology, and she is interested in the design of environments that support learners’ agency and critical engagement She is currently involved in national and international projects exploring democratic values in technology design and use with young people (Critical ChangeLab and Critical DataLit). Critical ChangeLab (2023-2026) is a Horizon Europe research and innovation project aiming at producing a model for democratic pedagogy in various learning environments. Critical DataLit (2023-2027) is a four-year project funded by the Research Council of Finland exploring youth’s data literacies, with an emphasis in supporting social justice in the context of digital citizenship education. Both projects use critical and participatory approaches, using creative practices and design futures methods with young people.

Sumita Sharma is a postdoctoral researcher, INTERACT research group, University of Oulu. She is a postdoc researcher in Human Computer Interation (HCI) with a focus on empowerment, inclusion, and accessibility using interactive and novel technologies for and with children and underserved users groups. She has worked on a three-year (Sep 2021- Aug 2024) Research Council of Finland funded postdoc project called PAIZ, which employed participatory approaches with children to design and discuss ethical AI with an emphasis on fairness and human agency and oversight in algorithmic decision-making.

Abstract for Theme talk: Youth's critical reflections on AI and data literacy - envisioning ethical futures together

With children’s and youth’s increasing everyday interactions with data intensive and AI-based systems, it is imperative to promote critical perspectives and reflections towards every day technology use. Current technology literacy initiatives, however, focus mainly on teaching how such systems work and not on adopting critical stance towards technology’s impact on individuals and on society at large. In this talk, we will present our work with children and youth on critical data and AI literacy, and discuss our approaches towards motivating children to be critical and ethical technology users and designers. This work was carried out as a part of the PAIZ project and the critical datalit project, both funded by the Research Council of Finland, and the EU funded Critical Change Lab project.