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Meng Li – Mathematics Education Research Group of Australasia, 2024
The profound advancements in technology have rendered novel forms of data and data visualisation increasingly accessible to individuals within society, thereby influencing daily decision-making processes. To address this change, this study sets out to review recent research on data-driven inquiries at the K-12 level from two perspectives:…
Descriptors: Visual Aids, Data Analysis, Mathematics Instruction, Statistics Education
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Phillip A. Boda; Shruti Bathia; Libby Gerard; Marcia C. Linn – Instructional Science: An International Journal of the Learning Sciences, 2024
Advances in graphing technologies and learning sciences pedagogy have the potential to equitably support students when exploring complex systems depicting dynamic relationships across multiple disciplinary topics in Science, Technology, Engineering, and Mathematics (STEM). We report on the cumulative impact of science units designed in a Research…
Descriptors: STEM Education, Elementary Secondary Education, Graphs, Interdisciplinary Approach
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Bragdon, Daniel; Pandiscio, Eric; Speer, Natasha – Investigations in Mathematics Learning, 2019
An executive report to the President of the United States titled "Engaging to Excel: Producing One Million Additional College Graduates with Degrees in Science," predicted that over the next decade, the United States will lack college graduates in the fields of science, technology, engineering, and mathematics (STEM). One contributing…
Descriptors: College Students, Graphs, Interpretive Skills, Comprehension
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von Davier, Matthias; Tyack, Lillian; Khorramdel, Lale – Educational and Psychological Measurement, 2023
Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…
Descriptors: Scoring, Networks, Artificial Intelligence, Elementary Secondary Education
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Campos, Fabio C.; Ahn, June; DiGiacomo, Daniela K.; Nguyen, Ha; Hays, Maria – Journal of Learning Analytics, 2021
With the spread of learning analytics (LA) dashboards in K-12 schools, educators are increasingly expected to make sense of data to inform instruction. However, numerous features of school settings, such as specialized vantage points of educators, may lead to different ways of looking at data. This observation motivates the need to carefully…
Descriptors: Middle School Teachers, Mathematics Teachers, Learning Analytics, Comprehension
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Angra, Aakanksha; Gardner, Stephanie M. – Advances in Physiology Education, 2016
Research on graph interpretation and basic construction is extensive, and student difficulties, primarily in K-12 type settings, have been well documented [e.g., graph choice, labels for axes, variables, and scaling axes]. It is important to provide students with repeated opportunities to increase competency and practice critical reflection in…
Descriptors: Graphs, Instructional Materials, Guides, Data
Stoneberg, Bert D. – Online Submission, 2018
Idaho uses the English Language Arts and Mathematics tests from the Smarter Balanced Assessment Consortium (SBAC) for the Idaho Standard Achievement Tests. ISAT results have been reported almost exclusively as "percent proficient or above" statistics (i.e., the percentage of Idaho students who performed at the "A" level). This…
Descriptors: Language Arts, Mathematics, Standardized Tests, State Standards
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Kim, Eun Mi; Oláh, Leslie Nabors; Peters, Stephanie – ETS Research Report Series, 2020
K-12 students are expected to acquire competence in data display as part of developing statistical literacy. To support research, assessment design, and instruction, we developed a hypothesized learning progression (LP) using existing empirical literature in the fields of mathematics and statistics education. The data display LP posits a…
Descriptors: Mathematics Education, Statistics Education, Teaching Methods, Data Analysis
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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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Fomunyam, Kehdinga George, Ed. – IntechOpen, 2020
Theorising STEM Education in the 21st Century is a book that captures the essence of Science, Technology, Engineering and Mathematics and the intricacies of STEM education in the contemporary society. It explores STEM as an interdisciplinary field as well as the individual disciplines that make up STEM. This ensures the field of STEM as a whole is…
Descriptors: STEM Education, Interdisciplinary Approach, Educational Theories, Cognitive Processes
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Brugar, Kristy A. – Journal of Visual Literacy, 2017
Many researchers, teacher educators, teachers and students view graphics in text as an aspect of student learning (e.g. engagement, comprehension). However, as a field we have not addressed teachers' pedagogical content knowledge and decision-making associated with the use of graphics, student learning and issues of access. This mixed methods…
Descriptors: Social Studies, Visual Aids, Teaching Methods, Mixed Methods Research
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Rizzi, Gleides A. L. – Rural Special Education Quarterly, 2016
This article provides teachers in rural settings with suggestions on how to engage classroom resource personnel (i.e., volunteers, instructional assistants) in monitoring students' achievement. The target, act, and graph (TAG) strategy offers rural special educators ways to empower classroom resource persons through training and use of the TAG…
Descriptors: Special Education, Paraprofessional School Personnel, Capacity Building, Empowerment
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Lin, Jing-Wen – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Cross-grade studies are valuable for the development of sequential curriculum. However such studies are time and resource intensive and fail to provide a clear representation to integrate different levels of representational complexity. Lin (Lin, 2006; Lin & Chiu, 2006; Lin, Chiu, & Hsu, 2006) proposed a cladistics approach in conceptual…
Descriptors: Cognitive Structures, Models, Visualization, Foreign Countries
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Martins, José Alexandre; Roca, Assumpta Estrada; Nascimento, Maria Manuel – European Journal of Science and Mathematics Education, 2014
Statistical graphs, measures of central tendency and measures of spread are key concepts in the statistics curriculum, so we present here a dynamic method (software) that may be used in the classroom. In this work we begin with an introductory approach. This is done to emphasize the importance of stimulating the visualization of statistical…
Descriptors: Computer Software, Mathematics Instruction, Graphs, Mathematical Concepts
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Pelánek, Radek; Rihák, Ji?rí – International Educational Data Mining Society, 2016
In online educational systems we can easily collect and analyze extensive data about student learning. Current practice, however, focuses only on some aspects of these data, particularly on correctness of students answers. When a student answers incorrectly, the submitted wrong answer can give us valuable information. We provide an overview of…
Descriptors: Foreign Countries, Online Systems, Geography, Anatomy
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