This article focuses on STEM integration as an important aspect of applying this approach in education. It presents the author's concept of its planning and implementation on the basis of systems theory and the systems approach. In this context, the components of STEM education are viewed as a system that emerges and operates "under the…

Community colleges are positioned in an ecosystem of complex organizational conditions and have a multitude of external factors influencing their context. This context demands systemic change work that is complex, which requires community college leaders to be adaptable to their organizational landscape. In this article, we provide key insights…

Purpose: This study introduces an ecological framework for disabilities meant to provide a new model of viewing and learning about disabilities and special education. This model projects a multi-systemic view of factors that influence a person's life, where people with disabilities are active actors in the development of the world. The increased…

This study aims to identify the characteristics of implementation and integration strategies of computational thinking (CT) and scientific approaches in programming education, viewed from the lens of educational levels, subject Matter, and research focus. The method employed is a systematic literature review following the PRISMA framework. A total…

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…

This study investigates the critical factors influencing students' satisfaction with university-business cooperation (UBC) in postgraduate education, focusing on Chinese universities of applied sciences. Employing a comprehensive research model, we utilised multivariate statistical analysis methods, including canonical correlation analysis,…

E-Learning has become a global phenomenon. It makes learning more accessible and acquisition of new skills and knowledge easier. In sub-Saharan Africa, however, online qualifications are often the subject of controversy regarding their recognition. This is clear evidence of unsuitable e-Learning systems, as well as the limited relevance of the…

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…

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…

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…

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,…

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…