Computational Thinking Without Writing Code: What’s Next for Computational Modeling?
Description
Generative Artificial Intelligence (AI) introduces exciting new possibilities and challenges to the established field of computational modeling education. The ten posters in this symposium provide different perspectives on the changing landscape and present examples of educational programs, professional development strategies, pedagogical approaches, and digital tools that have helped learners and educators develop the skills needed to interrogate and cocreate scientific computational models with AI. The posters address each stage of computational modeling education, including reading and decoding models, modifying existing models, creating (or co-creating) models, and evaluating models.
Suggested citation:
Fuhrmann, Tamar, et al. "Computational Thinking Without Writing Code: What's Next for Computational Modeling?." Proceedings of the 19th International Conference of the Learning Sciences-ICLS 2025, pp. 2417-2425. International Society of the Learning Sciences, 2025.