Speech Title: Transforming K-12 Education in the Intelligence Era: Smart Classrooms for Learning Communities

Abstract:As we enter the 21st-century, rapid change is the only certainty. Every sector of society is undergoing enormous changes, including commerce, industry, agriculture, transportation, urban environments, and digital citizenship. Students are keenly aware of these changes and uncertainties, and they are worried about the future of work and social stability. Environmental, social and economic issues are casting long shadows over their sense of well being. As educators, we must rethink the structure and purpose of K-12 and higher education in order to prepare students as problem solvers, collaborators, and critical thinkers. This talk will present research from the learning sciences that advocates against individual learning achievements in favour of a collective epistemology, with new roles for technology and the classroom environments. I will present research on collective, multidisciplinary inquiry, including recent work in the Critical Action Learning Exchange.

Speech Title: Bridging Theory and Practice: Integrating AI Literacy Across K-12 Curriculum

Abstract: In the rapidly evolving landscape of education, Artificial Intelligence (AI) is reshaping the way we teach, learn, and prepare the next generation for the challenges of the 21st century. The growing influence of AI in schools requires teachers to have essential knowledge and skills to integrate AI literacy into their curriculum. In recent years the majority of AI resources and curricula were developed for educators with prior programming experience. However, as AI-powered experiences and applications become an increasingly important part of everyday personal and professional life, being AI literate is now an important component of K-12 digital literacy for all teachers. This presentation introduces a novel pedagogical framework for teaching AI literacy across K-12 curriculum. Moving beyond traditional, programming-centric approaches, this framework provides educators with practical, research-informed strategies for integrating AI literacy across grade bands and subject areas, fostering interdisciplinary connections. The framework is built upon three theoretical foundations: the Five Big Ideas in AI, which define core AI concepts; the human-centered design thinking process, which provides a structured methodology for teaching with AI; and the Science of Learning and Development (SoLD) framework, which ensures inclusivity and accessibility. This framework also provides a robust foundation for discussing the ethical and societal implications of AI, a critical area of ongoing educational research. Through concrete examples of lessons that integrate core AI concepts into existing K-12 curriculum and preliminary findings from the pilot implementations with the preservice teachers in the US, Kazakhstan, and China, this lecture bridges the gap between theory and practice.

Speech Title: Developing Digital Capabilities in The Age of AI

Abstract: Digital literacy is recognised as an expected outcome of education, with national governments and global organisations recommending that opportunities to develop digital literacy are embedded into education at all levels. Often these recommendations are supported by definitions and/or frameworks of digital skills and capabilities. While it is valuable to specify the knowledge and skills needed to engage with digital tools, we also need to understand how learners become digital literate and how they develop the broader capability to use digital tools effectively and ethically in real-world contexts. The rapid availability of generative AI has led to new frameworks which focus on critical and responsible use of AI tools. Drawing on relevant research, this talk will explore developmental aspects of digital literacy, and consider how learners can be supported to develop the capabilities they will need to navigate a rapidly changing digital environment in the age of AI.

Speech Title: Generative AI in the Mobile Learning Era: Building a New Educational Ecosystem in Future Education

Abstract: This research presents a visionary framework for education in the mobile intelligence era, where generative AI, Intelligence Augmentation (IA), and emerging AI agent models transform mobile devices into adaptive, context-aware learning partners. Structured around seven dimensions—time, space, group differences, culture & language, age, domain, and governance—the proposed ecosystem redefines learning content, delivery methods, and structural design, while addressing challenges such as dependency, equity, and the evolving role of educators. Drawing on the latest developments from platforms such as OpenAI, Google Gemini, and Perplexity, the talk explores how these technologies, combined with agentic capabilities, can enhance personalization, collaboration, and real-time problem-solving. By shifting routine cognitive tasks to AI, learners and teachers can devote more energy to empathy, social engagement, creativity, and cultural exchange, fostering a more humanistic, inclusive, and future-ready education system.