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…

Contribution: The authors present a methodology for assessing both novelty and systems thinking, as expressed in the same conceptual models constructed by graduate engineering students. Background: Companies worldwide seek employees with creativity and systems thinking, since solving design problems requires both skills. Novelty and usefulness are…

This article proposes an approach based on experiments to teach optimization technique (OT) courses in the Systems Engineering curricula at undergraduate level. Artificial intelligence techniques in terms of nature-inspired optimization algorithms and neural networks are inserted in the lecture and laboratory parts of the syllabus. The experiments…

Contribution: A rubric for assessing the systems thinking expressed in conceptual models of technological systems has been constructed and assessed using a formal methodology. The rubric, a synthesis of prior findings in science and engineering education, forms a framework for improving communication between science and engineering educators.…

Engineering thinking enhances real-world learning; it emphasises system thinking, problem finding and creative problem solving as well as visualising, improving, and adapting products and processes. Several studies have investigated how pre-service preschool teachers acquire their knowledge of technology and engineering; however, a clear…

Systems thinking is an important skill in science and engineering education. Our study objectives were (1) to create the basis for a systems thinking language common to both science education and engineering education, and (2) to apply this language to assess science and engineering teachers' systems thinking. We administered two assignments to…

Decision making in most universities is taught within the conventional OR/MS (Operations Research/Management Science) paradigm. This paradigm is known to be "hard" since it is consisted of mathematical tools, and normally suitable for solving structured problems. In complex situations the conventional OR/MS paradigm proves to be…

Central to the mission of most educational institutions is the task of preparing the next generation of citizens to contribute to society. Schools, colleges, and universities value a range of outcomes--e.g., problem solving, creativity, collaboration, citizenship, service to community--as well as academic outcomes in traditional subjects. Often…

Logic models are based on linear relationships between program resources, activities, and outcomes, and have been used widely to support both program development and evaluation. While useful in describing some programs, the linear nature of the logic model makes it difficult to capture the complex relationships within larger, multifaceted…

This paper presents a brief overview of the changes made during our department level reform (DLR) process (Grant Title: "A Systems Approach for Civil and Environmental Engineering Education: Integrating Systems Thinking, Inquiry-Based Learning and Catamount Community Service-Learning Projects") and some of the effects of these changes on…

Paper presented at Symposium on the Application of Technology to Education, Washington, D.C., September 9-10, 1968.

This article introduces Model-Eliciting Activities (MEAs) as a form of case study team problem-solving. MEA design focuses on eliciting from students conceptual models that they iteratively revise in problem-solving. Though developed by mathematics education researchers to study the evolution of mathematical problem-solving expertise in middle…

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)

Steps that should be taken to design and implement computer-based instruction (CBI) for undergraduate science and engineering courses are outlined, and these steps are based on the experience of faculty at the University of Texas at Austin. Among the steps described are development of course material, developmental and validation testing of…