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Wellmanns, Andrea; Schmiemann, Philipp – Journal of Biological Education, 2022
Feedback loop reasoning is an essential part of systems thinking, which includes the analysis and description of system behaviour and regulative measures. In feedback loops, every change can simultaneously represent a cause and an effect. Research on reasoning in feedback loops is limited to investigating students' existing mental models. This…
Descriptors: Feedback (Response), Science Instruction, Visual Aids, Physiology
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Zangori, Laura; Ke, Li; Sadler, Troy D.; Peel, Amanda – International Journal of Science Education, 2020
Using socio-scientific issues (SSI) in the science learning environment can promote student motivation to learn and make learning experiences more meaningful. Embedding model-based reasoning opportunities in science lessons can promote substantial science learning. However, how these both work together to promote science learning is a little…
Descriptors: Elementary School Students, Thinking Skills, Ecology, Causal Models
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Cummiskey, Kevin; Adams, Bryan; Pleuss, James; Turner, Dusty; Clark, Nicholas; Watts, Krista – Journal of Statistics Education, 2020
Over the last two decades, statistics educators have made important changes to introductory courses. Current guidelines emphasize developing statistical thinking in students and exposing them to the entire investigative process in the context of interesting research questions and real data. As a result, many concepts (confounding, multivariable…
Descriptors: Statistics, Teaching Methods, Inferences, Guidelines
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Elsawah, Sondoss; Ho, Allen Tim Luen; Ryan, Michael J. – INFORMS Transactions on Education, 2022
Systems thinking is recognized as an essential skill for understanding complex problem solving and decision making associated with many of the contemporary issues faced by individuals and communities. In this article, our goal is to contribute to the knowledge of curriculum and pedagogy of formal systems thinking teaching in higher education. We…
Descriptors: Systems Approach, Higher Education, Thinking Skills, Concept Formation
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Cox, Marjolein; Elen, Jan; Steegen, An – Review of International Geographical Education Online, 2019
The use of causal diagrams to externalize the mental representation of a problem is recognized to be an important step in solving complex problems. In geography education several global challenges taught about in class are highly complex due to the interconnectedness of many causes and consequences. A systems thinking approach might be helpful to…
Descriptors: Thinking Skills, Causal Models, Problem Solving, Teaching Methods
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Bao, Lei; Koenig, Kathleen; Xiao, Yang; Fritchman, Joseph; Zhou, Shaona; Chen, Cheng – Physical Review Physics Education Research, 2022
Abilities in scientific thinking and reasoning have been emphasized as core areas of initiatives, such as the Next Generation Science Standards or the College Board Standards for College Success in Science, which focus on the skills the future will demand of today's students. Although there is rich literature on studies of how these abilities…
Descriptors: Physics, Science Instruction, Teaching Methods, Thinking Skills
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Jonassen, David H.; Ionas, Ioan Gelu – Educational Technology Research and Development, 2008
Causal reasoning represents one of the most basic and important cognitive processes that underpin all higher-order activities, such as conceptual understanding and problem solving. Hume called causality the "cement of the universe" [Hume (1739/2000). Causal reasoning is required for making predictions, drawing implications and…
Descriptors: Cognitive Processes, Inferences, Thinking Skills, Causal Models
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Besson, Ugo – Research in Science and Technological Education, 2004
The idea of causality is central in science and has long given rise to debate among philosophers and scientists. While the tendency to avoid causality seems to have become dominant in science and philosophy, research in science education has shown the strong presence in common reasoning of causal explanations, often conceived as a 'mechanism'…
Descriptors: Sciences, Science Education, Physics, Causal Models
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Perkins, David N.; Grotzer, Tina A. – Studies in Science Education, 2005
This article argues that an important source of the difficulties posed by particular concepts and theories is the narrow range of "types of causal models" with which most learners are familiar. Most learners are familiar with relatively simple styles of causal models, but many concepts and theories in science depend on styles…
Descriptors: Causal Models, Scientific Concepts, Intervention, Inquiry
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers