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Seyedahmad Rahimi; Russell Almond; Andrea Ramírez-Salgado; Christine Wusylko; Lauren Weisberg; Yukyeong Song; Jie Lu; Ted Myers; Bowen Wang; Xiaomaon Wang; Marc Francois; Jennifer Moses; Eric Wright – Journal of Computer Assisted Learning, 2024
Background: Stealth assessment is a learning analytics method, which leverages the collection and analysis of learners' interaction data to make real-time inferences about their learning. Employed in digital learning environments, stealth assessment helps researchers, educators, and teachers evaluate learners' competencies and customize the…
Descriptors: Competence, Models, Research Methodology, Research Design
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Soylu, Firat; Holbert, Nathan; Brady, Corey; Wilensky, Uri – Journal of Interactive Learning Research, 2017
In this paper we present a learning design approach that leverages perspective-taking to help students learn about complex systems. We define perspective-taking as projecting one's identity onto external entities (both animate and inanimate) in an effort to predict and anticipate events based on ecological cues, to automatically sense the…
Descriptors: Perspective Taking, Instructional Design, Learning Processes, Systems Approach
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Stamovlasis, Dimitrios – Complicity: An International Journal of Complexity and Education, 2014
This paper addresses some methodological issues concerning traditional linear approaches and shows the need for a paradigm shift in education research towards the Complexity and Nonlinear Dynamical Systems (NDS) framework. It presents a quantitative piece of research aiming to test the nonlinear dynamical hypothesis in education. It applies…
Descriptors: Educational Research, Systems Approach, Statistical Analysis, Science Achievement
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Trout, Charlotte; Sinex, Scott A.; Ragan, Susan – Physics Teacher, 2011
Models are essential to the learning and doing of science, and systems thinking is key to appreciating many environmental issues. The National Science Education Standards include models and systems in their unifying concepts and processes standard, while the AAAS Benchmarks include them in their common themes chapter. Hyerle and Marzano argue for…
Descriptors: Physics, Models, Systems Approach, Computer Uses in Education
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Fichter, Lynn S.; Pyle, E. J.; Whitmeyer, S. J. – Journal of Geoscience Education, 2010
To say Earth systems are complex, is not the same as saying they are a complex system. A complex system, in the technical sense, is a group of -agents (individual interacting units, like birds in a flock, sand grains in a ripple, or individual units of friction along a fault zone), existing far from equilibrium, interacting through positive and…
Descriptors: Teaching Methods, Mixed Methods Research, Outcomes of Education, Scoring Rubrics
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Berridge, C. R. – School Science Review, 1984
Discusses the need to include studies of reliability and maintainability during the design of any system. Topic areas addressed include availability calculations, complex systems and standby redundancy, availability and malfunction levels, design techniques, fault trees, functional maintenance, and others. (DH)
Descriptors: Design, Electronics, Manufacturing, Models
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Mettes, C. T. C. W.; And Others – Instructional Science, 1981
Describes the reconstruction of a conventional thermodynamics curriculum using the Galperin theory of stage-by-stage formation of mental actions and Landa's description of the "through" systematization of knowledge, and discusses the generalizability of the procedures followed in developing the plan for instruction. A 33-item…
Descriptors: Epistemology, Flow Charts, Instructional Design, Instructional Development
Teng, Jaan – 1973
This document presents a systems theory approach to post-secondary education. Terms such as entropy, energy, and "essergy" together with the laws of thermodynamics are applied to educational concepts. A philosophical approach with interspersed quotations from Hegel, Korzybski, and Adelman is used to design a new educational paradigm based upon…
Descriptors: Conceptual Schemes, Educational Philosophy, Educational Theories, Models
Hansen, Duncan N. – 1969
An input output model for individualizing learning in computer-assisted instruction (CAI) is analyzed, specifying a stimulus array, cognitive processes, and response requirements. These three components are discussed as keys to both instructional and curricular development processes; the appropriate use and control of instructional strategies are…
Descriptors: Behavioral Objectives, Branching, College Students, Computer Assisted Instruction