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Frischemeier, Daniel – Mathematics Teacher: Learning and Teaching PK-12, 2022
In this article, the author presents a short teaching sequence to show how to introduce young students in grades 3 (ages 8-9) and 4 (ages 9-10) to using digital tools for exploring larger and multivariate data sets. The teacher guided the young students from creating bar graphs in small data sets on embodied cognition and enactive levels to…
Descriptors: Grade 3, Grade 4, Elementary School Students, Data Analysis
Rosenblum, L. Penny; Zebehazy, Kim T.; Gage, Nicholas; Beal, Carole R. – Journal of Visual Impairment & Blindness, 2021
Introduction: Participants' perspectives are valuable in evaluating the effectiveness of an intervention. Methods: Interviews were conducted with teachers of students with visual impairments and students who completed an intervention designed to build graphics literacy skills. Results: Six themes were identified with corresponding subthemes. The…
Descriptors: Students with Disabilities, Visual Impairments, Program Effectiveness, Intervention
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Tunç-Pekkan, Zelha – Educational Studies in Mathematics, 2015
It is now well known that fractions are difficult concepts to learn as well as to teach. Teachers usually use circular pies, rectangular shapes and number lines on the paper as teaching tools for fraction instruction. This article contributes to the field by investigating how the widely used three external graphical representations (i.e., circle,…
Descriptors: Mathematics Instruction, Mathematical Concepts, Teaching Methods, Graphs
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Rau, Martina A.; Aleven, Vincent; Rummel, Nikol – Instructional Science: An International Journal of the Learning Sciences, 2017
Prior research shows that representational competencies that enable students to use graphical representations to reason and solve tasks is key to learning in many science, technology, engineering, and mathematics domains. We focus on two types of representational competencies: (1) "sense making" of connections by verbally explaining how…
Descriptors: Elementary School Students, Grade 3, Grade 4, Grade 5
Rau, Martina A.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2017
Prior research shows that representational competencies that enable students to use graphical representations to reason and solve tasks is key to learning in many science, technology, engineering, and mathematics (STEM) domains. We focus on two types of representational competencies: (1) "sense making" of connections by verbally…
Descriptors: Elementary School Students, Grade 3, Grade 4, Grade 5
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Taylor, Jonte'; Villanueva, Mary Grace – Science and Children, 2014
Ensuring science for all in the classroom requires that all students are afforded ways to grasp key science and engineering practices; however, we know that the practice of "obtaining, evaluating, and communicating information" can be a challenging task for children with high incidence disabilities (NGSS Lead States 2013, p. 15).…
Descriptors: Science Instruction, At Risk Students, Learning Disabilities, Behavior Disorders
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Lee, Kerry; Khng, Kiat Hui; Ng, Swee Fong; Ng Lan Kong, Jeremy – Frontline Learning Research, 2013
In Singapore, primary school students are taught to use bar diagrams to represent known and unknown values in algebraic word problems. However, little is known about students' understanding of these graphical representations. We investigated whether students use and think of the bar diagrams in a concrete or a more abstract fashion. We also…
Descriptors: Foreign Countries, Elementary School Students, Mathematics Instruction, Word Problems (Mathematics)
Earnest, Darrell Steven – ProQuest LLC, 2012
This dissertation explores fifth and eighth grade students' interpretations of three kinds of mathematical representations: number lines, the Cartesian plane, and graphs of linear functions. Two studies were conducted. In Study 1, I administered the paper-and-pencil Linear Representations Assessment (LRA) to examine students'…
Descriptors: Mathematical Concepts, Graphs, Visual Aids, Grade 5
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection