Purpose: Critical realism is an increasingly popular "lens" through which complex events, entities and phenomena can be studied. Yet detailed operationalisations of critical realism are at present relatively scarce. This study's objective here is built on existing debates by developing an open systems model of reality, a basis for…

Intended for researchers and clinical leaders, this article suggests that embedded program evaluation is a good fit with the desired features of practice-oriented research. The systematic nature of evaluation that is built into the operational workflow of a practice setting may increase the diversity of methods available to explore processes and…

Agent-based modeling is a promising tool for familiarizing students with complex systems as well as programming skills. Human-environment systems, for instance, entail complex interdependencies that need to be considered when modeling these systems. This complexity is often neglected in teaching modeling approaches. For a heterogeneous group of…

Integral to fostering computational thinking (CT) skills, which are increasingly essential in today's digital era, has been the shift of paper-based pictorial modeling activities to computational modeling. Research has indicated that modeling activities can advance students' understanding of a system's mechanism (i.e., systems thinking), such as…

Purpose: This research aimed to examine the impact of input, process, output, productivity and outcome variables on university research performance and the indicators that represent them in order to improve academic quality and contribute to government policy. Design/methodology/approach: The quantitative approach was used through a survey method…

Contribution: Model-based learning improves systems thinking (ST) based on students' prior knowledge and gender. Relations were found between textual, visual, and mixed question types and student achievements. Background: ST is essential to judicious decision-making and problem-solving. Undergraduate students can be taught to apply better ST, and…

The current research study utilized a case study research method to test the theory that the creativity and innovative processes are a complex adaptive system. Through qualitative interviews with renowned creators, the current study categorized the data into eight characteristics of complex adaptive systems: path dependent, systems have a history,…

The use of Bayesian Knowledge Tracing (BKT) models in predicting student learning and mastery, especially in mathematics, is a well-established and proven approach in learning analytics. In this work, we report on our analysis examining the generalizability of BKT models across academic years attributed to "detector rot." We compare the…

We face complex global issues such as climate change that challenge our ability as humans to manage them. Models have been used as a pivotal science and engineering tool to investigate, represent, explain, and predict phenomena or solve problems that involve multi-faceted systems across many fields. To fully explain complex phenomena or solve…

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…

Traditional reviews of arts education have focused on why the arts are valuable for learning, but the arts' contributions to cross-disciplinary discourse remain undertheorized. In this article, we provide a theoretical review of the arts and learning to suggest a new way of thinking about how the arts contribute to learning across disciplines…

This paper explores a range of theoretical models of resilience and human development to understand the concept of resilience as it has developed over time and how it is understood today. These include both classic and contemporary ideas such as those of Bronfenbrenner, Masten, Rutter and, more recently, Downes and Ungar. Building on this…

Organizations including universities are operating in an increasingly volatile environment and they are in a state of constant change. To survive and thrive in this ever-changing environment, building the capacity to adapt is essential. The basic purpose of this research was to identify and propose basic dimensions that help to envisage the…

At a time when higher education faces serious existential challenges, it is important for stakeholders in higher education to come together to make important decisions that are thoughtful and internally legitimate. Shared governance, a concept that is widely touted yet wildly varied in implementation, is the best path forward for decision makers.…