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Showing 1 to 15 of 16 results Save | Export
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Baosen Zhang; Ariana Frkonja-Kuczin; Zhong-Hui Duan; Aliaksei Boika – Journal of Chemical Education, 2023
Computer vision (CV) is a subfield of artificial intelligence (AI) that trains computers to understand our visual world based on digital images. There are many successful applications of CV including face and hand gesture detection, weather recording, smart farming, and self-driving cars. Recent advances in computer vision with machine learning…
Descriptors: Classification, Laboratory Equipment, Visual Aids, Optics
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Singh, Sushil Kumar; Kashyap, Jaya Shivangani; Rajwani, Priyanka; Kaur, Savinda – Physics Education, 2019
Understanding reflection and refraction are an integral part of school and college learning. In nature even birds and fish (Archer fish) very skillfully use refraction to strike down prey present above or below the water surface. Fermat's principle allows one to look beyond the reasons behind the laws governing the reflection and refraction. A…
Descriptors: Scientific Concepts, Scientific Principles, Computer Assisted Instruction, Science Experiments
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Simpson, Scott; Autschbach, Jochen; Zurek, Eva – Journal of Chemical Education, 2013
A computational experiment that investigates the optical activity of the amino acid valine has been developed for an upper-level undergraduate physical chemistry laboratory course. Hybrid density functional theory calculations were carried out for valine to confirm the rule that adding a strong acid to a solution of an amino acid in the l…
Descriptors: Science Instruction, Chemistry, College Science, Undergraduate Study
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Bayrak, Celal – Turkish Online Journal of Distance Education, 2008
The present study investigated whether computer assisted instruction was more effective than face-to-face instruction in increasing student success in physics. The study was conducted in the spring semester of 2006 at the Department of Science and Mathematics for Secondary Education at Hacettepe University. Seventy-eight freshman students from…
Descriptors: Experimental Groups, Control Groups, Computer Simulation, Computer Assisted Instruction
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Romagnoli, R. J. – American Journal of Physics, 1972
Using elementary principles of electron optics, the student gains greater understanding of the classical similarities between particles and waves. A method of solution is illustrated, and the results appear more reliable than those existing in prior literature. (Author/TS)
Descriptors: College Science, Computer Assisted Instruction, Computer Oriented Programs, Instruction
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Merrill, John R. – American Journal of Physics, 1971
Descriptors: College Science, Computer Assisted Instruction, Computer Programs, Instructional Materials
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Merrill, John R. – American Journal of Physics, 1971
Descriptors: College Science, Computer Assisted Instruction, Computer Oriented Programs, Instruction
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Neeson, John F.; Austin, Stephen – American Journal of Physics, 1975
Describes a method for the measurement of the velocity of sound in various liquids based on the Raman-Nath theory of light-sound interaction. Utilizes an analog computer program to calculate the intensity of light scattered into various diffraction orders. (CP)
Descriptors: Acoustics, College Science, Computer Assisted Instruction, Higher Education
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van der Merwe, J. P. – American Journal of Physics, 1980
Describes how certain concepts basic to electron optics may be introduced to undergraduate physics students by calculating trajectories of charged particles through electrostatic fields which can be evaluated on minicomputers with a minimum of programing effort. (Author/SA)
Descriptors: College Science, Computer Assisted Instruction, Computer Programs, Curriculum Development
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Goldstein, Philip – American Journal of Physics, 1973
Presents an annotated list of 13 programs which are used to discuss such physical aspects as trajectories, refraction indices, equipotential lines, force fields, computer plots, kinematics applications, Fermat's principle, and measurements of electricity and magnetism knowledge. (CC)
Descriptors: College Science, Computer Assisted Instruction, Instructional Materials, Mechanics (Physics)
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Blanchard, Frank N. – Journal of Geological Education, 1984
Describes a computer program which calculates a best estimate of refractive index and dispersion from a large number of observations using the double variation method of measuring refractive index along with Sellmeier constants of the immersion oils. Program listing with examples will be provided on written request to the author. (Author/JM)
Descriptors: College Science, Computer Assisted Instruction, Computer Programs, Crystallography
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Davis, J. F.; Greenslade, T. B., Jr. – Physics Teacher, 1991
A model of the phenomenon of the desert mirage is presented using Snell's Law and simple programing techniques. Optical trajectories predicted by the model are illustrated. (CW)
Descriptors: College Science, Computation, Computer Assisted Instruction, Higher Education
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Tomaselli, V. P.; And Others – Journal of Computers in Mathematics and Science Teaching, 1990
Describes a junior-level, one-year optics laboratory course for physics and engineering students. The course offers a range of experiments from conventional geometric optics to contemporary spatial filtering and fiber optics. Presents an example of an experiment with pictures. (Author/YP)
Descriptors: College Science, Computer Assisted Instruction, Computer Interfaces, Computer Software
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Grable-Wallace, Lisa; And Others – Physics Teacher, 1989
Evaluates 5 courseware packages covering the topics of simple harmonic motion, 7 packages for wave motion, and 10 packages for sound. Discusses the price range, sub-topics, program type, interaction, time, calculus required, graphics, and comments of each courseware. Selects several packages based on the criteria. (YP)
Descriptors: College Science, Computer Assisted Instruction, Computer Software, Computer Software Reviews
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Journal of Computers in Mathematics and Science Teaching, 1989
Reviews seven papers presented by the Technical Committee for Education of the International Federation for Information Processing. Topics consider: undergraduate physics, high school optics, a mathematics lab with LOGO, simulations and modeling for secondary education, computer assisted instruction with biology, and mathematics of tomorrow. (MVL)
Descriptors: Cognitive Processes, College Science, Computer Assisted Instruction, Computer Simulation
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