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Amy Adair; Michael Sao Pedro; Janice Gobert; Jessica A. Owens – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students' competencies at both "developing" and "evaluating"…
Descriptors: Student Evaluation, Mathematical Models, Competence, Scientific Research
Enderle, Patrick; King, Natalie; Margulieux, Lauren – Science Teacher, 2021
Teaching about wave structure and function is a critical element of any physical science curriculum and supported by "Next Generation Science Standards (NGSS)" PS4: Waves and Their Applications in Technologies for Information Transfer. To support students' learning of these ideas, teachers often rely on developing graphic models of a…
Descriptors: Science Education, Standards, Teaching Methods, Science Curriculum
Puglisi, Jose L.; Negroni, Jorge A.; Chen-Izu, Ye; Bers, Donald M. – Advances in Physiology Education, 2013
The force-frequency relationship has intrigued researchers since its discovery by Bowditch in 1871. Many attempts have been made to construct mathematical descriptions of this phenomenon, beginning with the simple formulation of Koch-Wesser and Blinks in 1963 to the most sophisticated ones of today. This property of cardiac muscle is amplified by…
Descriptors: Feedback (Response), Mathematical Models, Prediction, Intervals
Psycharis, Sarantos – Journal of Education and Training Studies, 2013
Contemporary teaching and learning approaches expect students--at any level of education--to be active producers of knowledge. This leads to the need for creation of instructional strategies, learning environments and tasks that can offer students opportunities for active learning. Research argues that one of the most meaningful and engaging forms…
Descriptors: Computation, Active Learning, Experiments, Mathematical Models
Mayes, Robert; Koballa, Thomas R., Jr. – Science and Children, 2012
The vision for science education set forth in "A Framework for K-12 Science Education" (NRC 2012) makes it clear that for today's students to become the scientifically literate citizens of tomorrow, their educational experiences must help them become mathematically proficient. "The focus here is on important practices, such as modeling, developing…
Descriptors: State Standards, Computers, Science Education, Scientific Literacy
Reyes-Palomares, Armando; Sanchez-Jimenez, Francisca; Medina, Miguel Angel – Biochemistry and Molecular Biology Education, 2009
A comprehensive understanding of biological functions requires new systemic perspectives, such as those provided by systems biology. Systems biology approaches are hypothesis-driven and involve iterative rounds of model building, prediction, experimentation, model refinement, and development. Developments in computer science are allowing for ever…
Descriptors: Mathematical Models, Biology, Biochemistry, Computer Science
Faraco, G.; Gabriele, L. – Computers & Education, 2007
Simulations make it possible to explore physical and biological phenomena, where conducting the real experiment is impracticable or difficult. The implementation of a software program describing and simulating a given physical situation encourages the understanding of a phenomenon itself. Fifty-nine students, enrolled at the Mathematical Methods…
Descriptors: Mathematical Models, Computer Software, Computer Simulation, Engineering Education
Mitchell, Eugene E., Ed. – 1979
The study of the dynamics of physical systems is of importance to all engineering students. LSSP, a Linear System Simulation Program, is used to study the behavior of physical phenomena and systems which may be represented to a good degree of approximation by linear models. Emphasis is placed upon the unity resulting from the mathematical…
Descriptors: Computer Programs, Computer Science, Computers, Engineering Education

Bonin, Hugues W.; Weir, Ronald D. – Chemical Engineering Education, 1984
Describes a course designed to assist students in writing differential equations to represent chemical processes and to solve these problems on digital computers. Course outline and discussion of computer projects and the simulation and optimization of a continuously stirred tank reactor process are included. (JN)
Descriptors: Chemical Engineering, Computer Simulation, Course Descriptions, Engineering Education

Gilbert, R. – Journal of Geological Education, 1979
Describes a simple hydraulic simulator based on more complex models long used by engineers to develop approximate solutions. It allows students to visualize non-steady transfer, to apply a model to solve a problem, and to compare experimentally simulated information with calculated values. (Author/MA)
Descriptors: Earth Science, Energy, Geology, Laboratory Equipment
Stewart, Peter A. – Physiologist, 1979
Defines and discusses the analog computer and its use in a physiology laboratory. Includes two examples: (1) The Respiratory Control Function and (2) CO-Two Control in the Respiratory System. Presents diagrams and mathematical models. (MA)
Descriptors: Analog Computers, Computer Assisted Instruction, Higher Education, Mathematical Models

Dorn, William S. – Journal of Research in Science Teaching, 1975
Describes two types of computer-based experiments: simulation (which assumes no student knowledge of the workings of the computer program) is recommended for experiments aimed at inductive reasoning; and modeling (which assumes student understanding of the computer program) is recommended for deductive processes. (MLH)
Descriptors: College Science, Computer Assisted Instruction, Deduction, Higher Education
Dean, Peter G. – Programmed Learning & Educational Technology, 1973
There are many educational situations where the student learns by using a model and we are beginning to explore the benefits of using an interactive computer to give a greater understanding of the relationship between the model and the real situation, and also of the real situation. Article gives a broad introduction to applications in the field…
Descriptors: Computer Assisted Instruction, Computer Science, Educational Games, Learning

Binkley, David; Dessy, Raymond – Journal of Chemical Education, 1979
Techniques for digitalizing analog signal data are presented and compared. The techniques presented are: boxcar averaging, ensemble averaging, unweighted digital filter, weighted digital filter, and analog filter. (BB)
Descriptors: Chemistry, Computer Assisted Instruction, Computers, Data

Bojorquez, Luis; Galvan, Silvia C. – School Science and Mathematics, 1982
A simple teaching model, designed to show rapidly which are the principal factors in population growth and how they are related, is presented. The apparatus described allows students to play several different active roles. (MP)
Descriptors: Mathematical Applications, Mathematical Models, Mathematics Education, Models
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