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Kukliansky, Ida; Eshach, Haim – Journal of Science Education and Technology, 2014
The interpretation of data and construction and understanding of graphs are central practices in science; therefore, an important skill needed in the undergraduate physics laboratory is the ability to analyze data obtained from experiments. Often students are not able to reach logical deductions based on data, acquired from the experiments that…
Descriptors: Science Instruction, Science Laboratories, Physics, Graphs
Sneider, Cary; Stephenson, Chris; Schafer, Bruce; Flick, Larry – Science Teacher, 2014
A "Framework for K-12 Science Education" identified eight practices as "essential elements of the K-12 science and engineering curriculum" (NRC 2012, p. 49). Most of the practices, such as Developing and Using Models, Planning and Carrying Out Investigations, and Analyzing and Interpreting Data, are well known among science…
Descriptors: High School Students, Secondary School Science, Thinking Skills, Computation
Peterlin, Primoz – European Journal of Physics, 2010
Two methods of data analysis are compared: spreadsheet software and a statistics software suite. Their use is compared analysing data collected in three selected experiments taken from an introductory physics laboratory, which include a linear dependence, a nonlinear dependence and a histogram. The merits of each method are compared. (Contains 7…
Descriptors: Physics, Introductory Courses, Science Instruction, College Science
Zajkov, Oliver; Mitrevski, Boce – European Journal of Physics Education, 2012
Students have problems with understanding, using and interpreting graphs. In order to improve the students' skills for working with graphs, we propose Manual Video Measurement (MVM). In this paper, the MVM method is explained and its accuracy is tested. The comparison with the standardized video data software shows that its accuracy is comparable…
Descriptors: Science Instruction, Video Technology, Computer Software, Physics
Kahn, Jason – ProQuest LLC, 2010
This dissertation concerns kindergarteners' and second graders' invented representations of motion, their interactions with conventional representations of motion built from the child's movement in front of a motion detector and using real-time graphing tools, and any changes in the invented representations that this interaction brings about. We…
Descriptors: Motion, Program Effectiveness, Physical Environment, Grade 2
Pavlekovic, Margita, Ed.; Kolar-Begovic, Zdenka, Ed.; Kolar-Super, Ruzica, Ed. – Online Submission, 2013
The universities and faculties which educate teachers of mathematics for teaching pupils/students of any age group from pre-school age to higher education carefully monitor and compare valuable results of this research, detect the areas in which the mathematical achievements of pupils should be improved at the national level and propose the ways…
Descriptors: Operations Research, Geometric Concepts, Foreign Countries, Mathematics Instruction

Barnes, Howard – Physics Education, 2000
Teaches data interpretation using the example of world running records for men and women. Explains different ways of plotting data. (YDS)
Descriptors: Data Analysis, Graphs, Physics, Science Education

Ringel, Herbert – Physics Teacher, 1974
Descriptors: Assignments, Community Colleges, Data Analysis, Data Processing

Barton, Roy – Physics Education, 1998
Argues that the only reason to ask students to plot graphs manually should be to have them learn the skill of plotting graphs manually. For data-analysis purposes, the use of computer-generated graphs has several advantages and few disadvantages over manual plotting. (Author/WRM)
Descriptors: Data Analysis, Foreign Countries, Graphs, Mathematical Applications

Dengerud-Au, Mary – Mathematics Teacher, 2000
Presents a lesson involving the measurement of wood beams and the prediction and testing of their stress limits. Provides an example of a problem with multiple solutions, each with different consequences. (KHR)
Descriptors: Data Analysis, Data Collection, Force, Graphs

Michael, Valerie – Science Teacher, 1989
Discusses a graphical analysis method used in the physics laboratory. Shown are various kinds of graphs to illustrate the relationship between two variables. A procedure for deriving equations from laboratory data is described. (YP)
Descriptors: Data Analysis, Data Interpretation, Equations (Mathematics), Graphs
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction

Adie, G. – Physics Education, 1998
Explains how the graphing calculator can be used in simulations of physics experiments and how its use for plotting graphs requires a shift in emphasis from obtaining an experimental result to evaluating that result. (DDR)
Descriptors: Computer Simulation, Computer Uses in Education, Data Analysis, Foreign Countries

Amend, John R.; And Others – Journal of Computers in Mathematics and Science Teaching, 1990
Demonstrated in this article are some of the capabilities of a spreadsheet program using data obtained in gas law experiments and a computer interface system. The ability to organize and analyze data which a computer can provide for the student is emphasized. (KR)
Descriptors: Chemistry, Computer Assisted Instruction, Data Analysis, Graphs
Rushton, Erik; Ryan, Emily; Swift, Charles – 2001
Many of today's popular sports are based around the use of a ball yet none are alike. In fact, they are all designed with specific characteristics in mind. In this activity, students investigate different balls' ability to bounce and represent the data they collect graphically. This activity uses a time frame of 100 minutes. (Author/SOE)
Descriptors: Critical Thinking, Data Analysis, Data Interpretation, Elementary Education
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