Most of humanity's important and difficult problems such as pandemics, environmental health, and social unrest require recognizing and understanding complex systems. Students often have difficulty understanding complex systems concepts and previous research indicates that scaffolded computer simulations may facilitate learning. Few studies,…

South Africa's basic education system is dysfunctional. It scores last or close to last in a myriad of metrics and delivers learners with some of the worst literacy and numeracy competencies worldwide. A bimodal distribution in the results exists when learners from the richest socioeconomic quintile are performing adequately well, while learners…

The properties and functions of complex systems apply across a variety of domains of science and are at the heart of the solutions to many global crises facing the world today. As such, understanding of complex systems has been increasingly recognized as a core goal of science education. Learning about complexity-related concepts and phenomena is…

Two leading camps for studying social complexity are case-based methods (CBM) and agent-based modelling (ABM). Despite the potential epistemological links between 'cases' and 'agents,' neither camp has leveraged their combined strengths. A bridge can be built, however, by drawing on Abbott's insight that 'agents are cases doing things', Byrne's…

Agent-based models combine data and theory during both development and use of the model. As models have become increasingly data driven, it is easy to start thinking of agent-based modelling as an empirical method, akin to statistical modelling, and reduce the role of theory. We argue that both types of information are important where the past is…

Simulation-based methods are becoming a promising research tool in financial markets. A general Complex Adaptive System can be tailored to different application scenarios. Based on the current research, we built two models that would benefit portfolio management by utilizing Complex Adaptive Systems (CAS) in Agent-based Modeling (ABM) approach.…

This mixed methods study was designed to uncover evidence of change to mental models about organizational systems resulting from participation in a simulation game that is based on a system dynamics model. Thirty participants in a 2 day experiential workshop completed a pretest and posttest to assess learning about particular systems concepts.…

In the knowledge age, performance evaluation is one of the vital components of each organization, and educational organizations are no exception. Teachers are believed as the single most important factor influencing students' academic success or failure. Considering the pivotal role of teachers, educational systems need to not only be assured that…

This article concentrates on the question what kind of model--conceptual and statistical--can serve as a good working model for the study of learning and teaching processes qua processes. We claim that a good way of answering this question is to begin by observing a teaching and learning process as, where, and when it occurs. In addition, a…

This paper investigates the dynamics of student enrolment in the Syrian private higher education sector. The paper adopts a system dynamics approach, to construct suitable simulation models that could be used to examine the complex and dynamic interactions between student flows, staff ratios and investments in plant and facilities. The study…

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…