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Rupright, Mark E. – Physics Teacher, 2011
Systematic errors are often unavoidable in the introductory physics laboratory. As has been demonstrated in many papers in this journal, such errors can present a fundamental problem for data analysis, particularly when comparing the data to a given model. In this paper I give three examples in which my students use popular curve-fitting software…
Descriptors: Physics, Data Analysis, Introductory Courses, Science Instruction
Wee, Loo Kang – Physics Education, 2012
We develop an Easy Java Simulation (EJS) model for students to experience the physics of idealized one-dimensional collision carts. The physics model is described and simulated by both continuous dynamics and discrete transition during collision. In designing the simulations, we discuss briefly three pedagogical considerations namely (1) a…
Descriptors: Physics, College Science, Experiential Learning, Feedback (Response)
Schoor, Cornelia; Bannert, Maria; Jahn, Verena – Electronic Journal of Research in Educational Psychology, 2011
Introduction: The aim of our research was to investigate the modality effect in more detail by measuring it in a direct way. Two studies were conducted using the same subject and material. Method: Computer-based learning material was presented on several screens, each containing a short text and a picture. Modality was varied by presenting written…
Descriptors: Reaction Time, Error of Measurement, Computer Uses in Education, Investigations
Kluge, Annette – Applied Psychological Measurement, 2008
The use of microworlds (MWs), or complex dynamic systems, in educational testing and personnel selection is hampered by systematic measurement errors because these new and innovative item formats are not adequately controlled for their difficulty. This empirical study introduces a way to operationalize an MW's difficulty and demonstrates the…
Descriptors: Personnel Selection, Self Efficacy, Educational Testing, Computer Uses in Education
Hauptman, Joe – Teaching Statistics: An International Journal for Teachers, 2004
This article describes a simple computer program which graphically demonstrates both Type I and Type II statistical errors.
Descriptors: Computer Software, Statistical Analysis, Computer Uses in Education, Error of Measurement

Mason, Diana S. – Journal of Chemical Education, 2004
The history of the computer usage in high school laboratories is discussed. Students learned scientific methods by acknowledging measurement errors, using significant digits, questioning their own results, and without doubts, they benefited from applying skill learned in mathematics classes.
Descriptors: Computer Uses in Education, Science Laboratories, History, High School Students

Rusling, James F. – Journal of Chemical Education, 1988
Investigates minimizing errors in computational methods commonly used in chemistry. Provides a series of examples illustrating the propagation of errors, finite difference methods, and nonlinear regression analysis. Includes illustrations to explain these concepts. (MVL)
Descriptors: Chemistry, College Science, Computation, Computer Uses in Education
Pan, Cheng-Chang "Sam"; Gunter, Glenda; Sivo, Stephen; Cornell, Richard – Journal of Educational Technology Systems, 2005
Drawing from the Technology Acceptance Model, this correlational study was intended to determine student users' adoption of WebCT and its relationship to their final grade. In acknowledging the relevance of human-computer interaction, the author attempted to investigate a belief-attitude-behavior relationship in a WebCT setting. Given a social…
Descriptors: Computer Attitudes, Error of Measurement, Path Analysis, Structural Equation Models

Stenz, John C.; And Others – Journal of Chemical Education, 1988
Describes eight uses of the microcomputer in the chemistry classroom. Includes games, simulations, and graphics programs most of which are available from Project SERAPHIM. (MVL)
Descriptors: Chemical Equilibrium, Chemistry, College Science, Computer Simulation