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Zipeng Qi; Lei Xu; Yun Chen; Shuanglian Cai – Journal of Chemical Education, 2024
This study revamps and optimizes the teaching and learning process and instrument for the classic binary vapor-liquid equilibrium experiment by combining activity coefficient model simulations and practical exercises. Our teaching process combines a software simulation and practical exercises. Utilizing Aspen software, students can predict phase…
Descriptors: Learning Processes, Instruction, Instructional Improvement, Educational Improvement
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Eckhardt, Marc; Urhahne, Detlef; Harms, Ute – Education Sciences, 2018
Intuitive knowledge seems to influence human decision-making outside of consciousness and differs from deliberate cognitive and metacognitive processes. Intuitive knowledge can play an essential role in problem solving and may offer the initiation of subsequent learning processes. Scientific discovery learning with computer simulations leads to…
Descriptors: Computer Simulation, Grade 8, Secondary School Students, Foreign Countries
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Eckhardt, Marc; Urhahne, Detlef; Conrad, Olaf; Harms, Ute – Instructional Science: An International Journal of the Learning Sciences, 2013
The study examined the effects of two different instructional interventions as support for scientific discovery learning using computer simulations. In two well-known categories of difficulty, data interpretation and self-regulation, instructional interventions for learning with computer simulations on the topic "ecosystem water" were developed…
Descriptors: Difficulty Level, Cognitive Processes, Academic Support Services, Discovery Learning
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Chen, Chih Hung; Yang, Jie Chi; Shen, Sarah; Jeng, Ming Chang – Educational Technology & Society, 2007
In this study, a desktop virtual reality earth motion system (DVREMS) is designed and developed to be applied in the classroom. The system is implemented to assist elementary school students to clarify earth motion concepts using virtual reality principles. A study was conducted to observe the influences of the proposed system in learning.…
Descriptors: Elementary School Students, Computer Simulation, Motion, Astronomy
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Triona, Lara M.; Klahr, David – Science Education Review, 2007
Hands-on science typically uses physical materials to give students first-hand experience in scientific methodologies, but the recent availability of virtual laboratories raises an important question about whether what students' hands are on matters to their learning. The overall findings of two articles that employed simple comparisons of…
Descriptors: Hands on Science, Scientific Methodology, Virtual Classrooms, Laboratory Experiments
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Njoo, Melanie; de Jong, Ton – Journal of Research in Science Teaching, 1993
This study investigated what constitutes exploratory learning and what effects instructional support measures have on it. Among the conclusions were that students were reluctant to apply learning processes that are considered characteristic for exploratory learning. Students had problems with the process, especially with the process of generating…
Descriptors: College Science, Computer Assisted Instruction, Computer Simulation, Discovery Learning
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Robinson, William R. – Journal of Chemical Education, 2000
Describes a review of research that addresses the effectiveness of simulations in promoting scientific discovery learning and the problems that learners may encounter when using discovery learning. (WRM)
Descriptors: Computer Simulation, Discovery Learning, Elementary Secondary Education, Learning Problems
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Jackman, Lance E.; And Others – Journal of Research in Science Teaching, 1990
The purpose of this study was to examine the effects of three instructional methods and conceptual systems orientation on achievement in a freshman general chemistry laboratory course. Traditional approach, learning cycle, and computer simulations are discussed. (KR)
Descriptors: Abstract Reasoning, Chemistry, Cognitive Development, College Science
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Tallon, Bill; And Others – School Science Review, 1983
Discusses use of microcomputers for structuring, communicating, and disseminating information under the categories of instructional use (computer-assisted instruction), emancipation (number crunching), revelatory (discovery/simulation), and conjectural (hypothesis testing). Also discusses use of PROLOG language for modeling ecosystems and testing…
Descriptors: Artificial Intelligence, Biology, Computer Assisted Instruction, Computer Managed Instruction
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Kinderman, Jesusa Valdez – Physics Teacher, 1992
Describes a computer simulation of the Compton effect designed to lead students to discover (1) the relationship of the electron's final kinetic energy to its angle of scattering and (2) the relationship between the scattering angles of the outgoing electron and photon. (MDH)
Descriptors: Computer Assisted Instruction, Computer Simulation, Discovery Learning, Energy