Abstract

This paper explores innovative pedagogical approaches for teaching algorithmic thinking and introducing Artificial Intelligence (AI) concepts without direct technical instruction or reliance on AI tools. Instead, it leverages business and futures-thinking visual frameworks, such as the Business Model Canvas, Scenario Development Canvas, and Anticipatory Tech Canvas, as conversational catalysts for management students and workshop participants. The central thesis posits that these non-technical canvases effectively facilitate discussions on advanced technology-based futures, fostering critical thinking, problem-solving skills, and a deeper understanding of AI's potential impact across various sectors. The study is grounded in practical experiences gathered by three facilitators during the academic year 2024/25, encompassing 25 workshops with management students and two significant events with over 60 participants each, including a Blended Intensive Program in Poland and the Asia Europe Foundation's InnoLab program. Researchers compared observations from sessions using pre-designed canvases with insights from workshops where students drew canvases from scratch. Additionally, experiences with 81 spontaneously sketched 'Future of Education' canvases were thematically coded using Saldana's methodology [1] to identify challenges and opportunities. Students had access to AI tools of their choice in both cases. Results indicate that the analysis of group work with pre-defined visual frameworks led to the description of the PIVOT learning approach (Purpose-driven, Imagination-led, Visually-rich, Outcome-focused, Thought-provoking) for designing visual canvases. Thematic analysis revealed key challenges in education, including misalignment with labor market needs, issues with studying experience, erosion of academic integrity, and AI ethical concerns. Opportunities identified include innovation-centricity, personalized and flexible learning, enhanced industry collaboration, and new forms of collective intelligence through AI integration and global accessibility. Furthermore, the study confirmed that social learning, curiosity, and self-discovery, particularly through creative explorations, are pivotal in knowledge and skill acquisition in the age of AI. As a practical implication, the paper proposes a universal FOLD (Future Oriented Learning Canvas) canvas designed to help students frame problem-solving narratives using future thinking and foresight. This novel, hybrid canvas integrates design thinking, systems thinking, and anticipatory governance to foster deeper engagement with the future of education in an AI-dominated world.