Understanding the world around us is a growing necessity for the whole public, as citizens are required to make informed decisions in their everyday lives about complex issues. Systems thinking (ST) is a promising approach for developing solutions to various problems that society faces and has been acknowledged as a crosscutting concept that…

Business Model Canvas (BMC) is a business model that must be mastered by students in the Bioentrepreneurship course as an initial provision for entering the entrepreneurial world, while in compiling Business Model Canvas (BMC) systematic thinking skills are needed. This study aims to provide an assessment instrument to measure students' system…

Chemistry is a systems science that deals with complex-dynamic systems and systems thinking is an essential aspect of chemical practices. Thus, a systems thinking approach is needed in chemistry education for meaningful learning of the subject matter. Despite this necessity, systems thinking has not received sufficient attention in chemistry…

Systems thinking in chemistry education (STICE) has been proposed as an approach that could better equip students with abilities to connect their chemistry knowledge with other disciplines and with the skills needed to tackle complex global issues. However, educational change in chemistry is a complex effort that involves many interconnected…

The main aim of this study is to teach students to take a systems perspective in understanding complex biological problems. Two lessons were designed and tested in two secondary classes (15- to 16-year-old students), using a lesson study approach. Three students from each class were observed more closely when visualizing and reasoning about two…

Citizens show misunderstandigs about groundwater that hinder making informed decisions about problems like the deterioration of aquifers. Science education should address this, including modelling practices about the aquifer model. Physical models (PM) have been extensively used in geology teaching, but students rarely construct, evaluate or…

As an instructional tool, models can transform the student experience from the static to the dynamic, the flat to the 3D, and the siloed to the integrated. Few practical resources exist to help instructors transition toward model-based classroom practices. The "Modeling in the Classroom" evidence-based teaching guide provides instructors…

Scientific modeling and systems thinking (SMST) is central to the geosciences, yet few studies have documented how and to what extent undergraduate geoscience courses emphasize SMST, as well as factors that might help explain or predict these trends. Here, we present research based on data (n = 2056) from the most recent (2016) administration of…

Components of complex systems apply across multiple subject areas, and teaching these components may help students build unifying conceptual links. Students, however, often have difficulty learning these components, and limited research exists to understand what types of interventions may best help improve understanding. We investigated 32 high…

A qualitative model of a system is an abstraction that captures ordinal knowledge and predicts the set of qualitatively possible behaviours of the system, given a qualitative description of its structure and initial state. This paper examines an innovative approach to science education using an interactive learning environment that supports…

This study examines the interactions between problem solving and conceptual change in an elementary science class where students build system dynamic models as a form of problem representations. Through mostly qualitative findings, we illustrate the interplay of three emerging intervening conditions (epistemological belief, structural knowledge…

Artificial intelligence research on creative design has led to Structure-Behavior-Function (SBF) models that emphasize functions as abstractions for organizing understanding of physical systems. Empirical studies on understanding complex systems suggest that novice understanding is shallow, typically focusing on their visible structures and…

System Dynamics is a well formulated methodology for analyzing the components of a system including cause-effect relationships and their underlying mathematics and logic, time delays, and feedback loops. It began in the business and manufacturing world, but is now affecting education and many other disciplines. Having inspired by successful policy…

System Dynamics is a well formulated methodology for analyzing the components of a system including causeeffect relationships and their underlying mathematics and logic, time delays, and feedback loops. It began in the business and manufacturing world, but is now affecting education and many other disciplines. Having inspired by successful policy…

Presents a framework for model development that, when used, will help the student (or professor) avoid the major pitfalls associated with modeling. Includes not properly identifying the controlling factors, lack of model validation and developing a model that is incompatible with its end use. (CW)