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Janney, Benjamin A.; Sobotka, Alex J.; Kidd, Aaron E. – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2022
Despite holding wide-ranging experiences with constant velocity and non-zero acceleration, students wrestling with physical science concepts struggle to demarcate the two distinct characteristics of motion. In fact, this prior experience and loose familiarity with associated terminology often act as an obstacle toward a deep and robust…
Descriptors: Scientific Concepts, Physical Sciences, Motion, Experience
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Wong, Vicky – School Science Review, 2017
Although graphs are used in both mathematics and science, there are disciplinary differences in the types of tasks, the terminology and the purpose for graphing. This can make it difficult for students to transfer their learning from one subject to the other. By examining the differences in how graphs are used, and the reasons for these…
Descriptors: Graphs, Science Instruction, Mathematics Instruction, Concept Formation
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Lynch, Mark A. M. – International Journal of Mathematical Education in Science and Technology, 2012
It is not difficult to construct dense graphs containing Hamiltonian cycles, but it is difficult to generate dense graphs that are guaranteed to contain a unique Hamiltonian cycle. This article presents an algorithm for generating arbitrarily large simple graphs containing "unique" Hamiltonian cycles. These graphs can be turned into dense graphs…
Descriptors: Mathematics Instruction, Teaching Methods, Graphs, Vocabulary
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Fisher, Peter J.; Blachowicz, Camille L. Z. – Educational Leadership, 2013
The Common Core standards distinguish between domain-specific vocabulary (topic, point on a graph) and general academic vocabulary (consist of, analyze), but is this a false dichotomy, the authors ask? Analyzing character development, they point out, is not the same as analyzing data. This has implications for vocabulary instruction in the areas…
Descriptors: Academic Standards, Vocabulary, Mathematics Instruction, Science Instruction
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Dash, Carolyn; Hug, Barbara – Science Teacher, 2014
We constantly encounter data--in the form of graphs--that convey information about weather, medicine, politics, finances, and nutrition. These graphs are intended to help us visualize data for easy interpretation; however, approximately 41% of adults in the United States have low graph literacy (Galesic and Garcia-Retamero 2011). In this article,…
Descriptors: Climate, Graphs, Science Instruction, Teaching Methods
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Bixler, Sharon G. – Mathematics Teaching in the Middle School, 2014
An iPadĀ® can be used to teach students to graph parabolas with ease and grasp vocabulary quickly. Parabolas come to life for students in this easily implemented activity described in this article. Teachers can use this tool in a fun and interactive way to not only address these graphing and vocabulary concepts but also introduce and explore…
Descriptors: Educational Technology, Handheld Devices, Technology Uses in Education, Graphs
Mulligan, Joanne; English, Lyn – Mathematics Education Research Group of Australasia, 2014
This paper describes students' developing meta-representational competence, drawn from the second phase of a longitudinal study, "Transforming Children's Mathematical and Scientific Development." A group of 21 highly able Grade 1 students was engaged in mathematics/science investigations as part of a data modelling program. A pedagogical…
Descriptors: Mathematics Instruction, Interdisciplinary Approach, Science Instruction, Grade 1
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use