Narrow Results

As a reaction to the growing economical, ecological and societal demands on education innumerous efforts and programs have been initiated throughout the educational chain to improve the quality of teaching and learning in the STEM field. On that background we sketch a framework to foster creative engagement in learning to promote scientific inquiry and modeling processes. In the theoretical part the article presents a dualistic perspective on the grounding of creative cognition in concrete experience, highlighting the productive and reflexive interplay of procedural and conceptual knowing. Their entanglement is pivotal to successful knowledge construction and application in science and technology. The ‘mechanics’ of creativity is elaborated exemplarily in a project based learning sequence that starts from investigating and modeling elastic forces as a basic paradigm of creative model construction. The creative part refers to conceptual expansions of the elastic spring model that assist in modeling emergent mechanical properties in hard and soft condensed matter. With additional moderate instructional input this knowledge is productive in creating basic models of the self-organized dynamics of biomolecular systems that orchestrate life at the cellular level. The sequence demonstrates how the interplay of hands-on experience and conceptual modeling can promote near and far transfer.

This review presents a sequence of exemplary experience-based encounters with self-organizing systems on different levels of difficulty. Based on hands-on experiments and creative modeling it provides a viable educational road to build up a deeper understanding of self-organization principles and their comprehensive nature. Theories of self-organization describe how patterns, structures and new types of behavior emerge in energetically open systems, resulting from the local interaction of many components. As an external control instance is missing, the underlying philosophy is counterintuitive to our habits of causal thinking. This thematic and conceptual framework impacts on many STEM domains and presents a blueprint for modeling emergent structures and complex functions in natural and technological systems. It reveals unifying principles that can help in reducing, in structuring and, finally, in understanding and controlling the emerging complexity. An overview across diverse STEM domains highlights the role of this overarching concept. This cross-disciplinary approach can help in improving the dialogue and the knowledge exchange between the individual fields. Moreover, in a self-referential fashion, the modeling of self-organization provides us with fresh perspectives to reflect our own creative processes.