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Saba, Janan; Hel-Or, Hagit; Levy, Sharona T. – Interactive Learning Environments, 2023
This paper presents the design and initial learning research with the MMM modeling platform, seeking to advance middle school students' learning through constructing computational models of complex physical and chemical systems. A complexity-based structure of an MMM interface is introduced. It suggests that a complex system can be described and…
Descriptors: Motion, Chemistry, Physics, Grade 7
Mambrey, Sophia; Timm, Justin; Landskron, Jana Julia; Schmiemann, Philipp – Journal of Research in Science Teaching, 2020
Present and future social and ecological challenges are complex both to understand and to attempt to solve. To comprehend the complex systems underlying these issues, students need systems thinking skills. However, in science education, a uniform delineation of systems thinking across contexts has yet to be established. While there seems to be…
Descriptors: Science Education, Grade 5, Grade 6, Systems Approach
Nesimyan -- Agadi, Dina; Ben Zvi Assaraf, Orit – Journal of Biological Education, 2023
The theory of evolution can be a useful basis for developing students' understanding of ecology. Our study used concept maps to examine the development of sixth-grade students' understanding of the Antarctic ecosystem following several evolution 'Science Days' conducted at 'Nature Campus' -- an informal learning environment comprised of a natural…
Descriptors: Evolution, Scientific Concepts, Science Instruction, Grade 6
Leiba, Moshe; Zuzovsky, Ruth; Mioduser, David; Benayahu, Yehuda; Nachmias, Rafi – Interdisciplinary Journal of E-Learning and Learning Objects, 2012
A qualitative model of a system is an abstraction that captures ordinal knowledge and predicts the set of qualitatively possible behaviours of the system, given a qualitative description of its structure and initial state. This paper examines an innovative approach to science education using an interactive learning environment that supports…
Descriptors: Models, Ecology, Qualitative Research, Electronic Learning