Artificial intelligence is rapidly transforming how knowledge is produced, accessed, and applied. As intelligent systems increasingly participate in cognitive tasks traditionally performed by humans, educators face fundamental questions about how students learn, how learning should be assessed, and what capabilities graduates need in an AI-augmented world. In this context, intelligent systems broadly refer to AI-enabled technologies that support or automate cognitive activities, including generative AI, intelligent tutoring systems, adaptive learning platforms, learning analytics, and decision-support tools. These technologies are becoming increasingly embedded in both educational environments and the workplaces students are preparing to enter. The Information Systems education community is uniquely positioned to explore how education must evolve in response to these developments. The Special Interest Group on Education (SIGED) of the Association for Information Systems (AIS) brings together scholars and educators interested in advancing research in Information Systems education. SIGED has long been concerned with both educating of and with IS, reflecting the dual role of digital technologies as both subject and instrument of education. Aligned with the broader ICIS 2026 theme of digital collaboration and coexistence, the theme of this year’s conference is "Learning, Assessment, and Skills in the Age of Intelligent Systems". We encourage research that provides empirical evidence, theoretical insights, or innovative educational designs addressing the opportunities and challenges created by intelligent systems. We invite submissions that engage with the central SIGED themes of IS education and educational technologies, as well as topics aligned with this year’s conference theme. While the general topics address enduring questions in IS education, the theme-related topics focus on how intelligent systems are transforming learning processes, assessment practices, and workforce preparation.