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Ozaltun Celik, Aytug – Journal of Pedagogical Research, 2022
Interpreting statistical graphs and making inferences based on the graphs are a precursor for formal statistical inferences. To support student inferences, both teachers and future teachers should have adequate knowledge regarding students' thinking on graphs as well as their potential misinterpretations and difficulties in interpreting graphs. In…
Descriptors: Middle School Teachers, Middle School Students, Mathematics Instruction, Secondary School Mathematics
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Maknun, Churun Lu'lu'il; Rosjanuardi, Rizky; Jupri, Al – Mathematics Teaching Research Journal, 2022
Epistemological obstacle is emphasized in mathematics education. Students often have limited students' context of knowledge in understanding trigonometry. Knowing the epistemology obstacle can help a teacher understand the student's misconception. Therefore, this study aimed to identify students' epistemological obstacles of trigonometry and…
Descriptors: Barriers, Epistemology, Learning Processes, Grade 11
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Sandefur, James; Lockwood, Elise; Hart, Eric; Greefrath, Gilbert – ZDM: Mathematics Education, 2022
In this paper, we provide an overall perspective on the teaching and learning of discrete mathematics. Our aim is to highlight what research has been conducted in this area and to connect it to existing research ideas for future work. We begin by characterizing discrete mathematics and its role in the school curriculum, highlighting themes,…
Descriptors: Mathematics Instruction, Teaching Methods, Mathematics Education, Relevance (Education)
Joao M. Souto-Maior; Kenneth A. Shores; Rachel E. Fish – Annenberg Institute for School Reform at Brown University, 2025
Whether selection processes contribute to group-level disparities or merely reflect pre-existing inequalities is an important societal question. In the context of observational data, researchers, concerned about omitted-variable bias, assess selection-contributing inequality via a kitchen-sink approach, comparing selection outcomes of…
Descriptors: Control Groups, Predictor Variables, Correlation, Selection Criteria
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Lin, Lifeng – Research Synthesis Methods, 2019
Assessing publication bias is a critical procedure in meta-analyses for rating the synthesized overall evidence. Because statistical tests for publication bias are usually not powerful and only give "P" values that inform either the presence or absence of the bias, examining the asymmetry of funnel plots has been popular to investigate…
Descriptors: Meta Analysis, Sample Size, Graphs, Bias
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Swann, G. M. Peter – Journal of Economic Education, 2019
Many empirical economists say that the teaching of econometrics is unbalanced, and students are not well-prepared for the serious problems they will encounter with real data. Here, the author considers the problem of noisy data, which is present in most econometric studies, but receives far too little attention. Most econometric studies are done…
Descriptors: Economics Education, Economics, Data, Problems
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Ledford, Jennifer R.; Barton, Erin E.; Severini, Katherine E.; Zimmerman, Kathleen N.; Pokorski, Elizabeth A. – Education and Training in Autism and Developmental Disabilities, 2019
Two studies regarding the graphic display of single case data are presented. First, measurement and graphical display of data from studies in highly-ranked journals in special education were assessed. Measurement of desirable behaviors rather than undesirable behaviors was common and most studies used sessions and percentages as x and y-values,…
Descriptors: Special Education, Students with Disabilities, Research Design, Educational Research
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Dorko, Allison – The Mathematics Educator, 2019
Generalization is critical to mathematical thought and to learning mathematics. However, students at all levels struggle to generalize. In this paper, I present a theoretical analysis connecting Piaget's assimilation and accommodation constructs to Harel and Tall's (1991) framework for generalization in advanced mathematics. I offer a theoretical…
Descriptors: Mathematics Education, Generalization, Piagetian Theory, Learning Theories
Oslington, Gabrielle; Mulligan, Joanne – Mathematics Education Research Group of Australasia, 2023
Two case studies of Australian primary school students tracked changes in their data interpretation and representation over three years. Students were engaged in predictive reasoning tasks based on their interpretation of a data table showing temperature change over time. Students' explanations and graphical representations were collected at the…
Descriptors: Case Studies, Elementary School Students, Prediction, Task Analysis
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Belmonte-Mulhall, Colleen P.; Harrison, Judith R. – Journal of Applied School Psychology, 2023
Students with or at-risk of High Incidence Disabilities (HID) experience negative short and long-term outcomes. To intervene, many schools have elected to implement evidence-based practices within Multi-Tiered Systems of Support (MTSS), such as Response to Intervention (RTI). MTSS target the academic and behavioral progress of students deemed 'at…
Descriptors: Multi Tiered Systems of Support, Students with Disabilities, Student Behavior, Data Interpretation
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Tolga Gök – Journal of Science Learning, 2023
The study investigated the effects of a combination of Peer Discussion and Isomorphic Problems (PD-IPs) on high school students' graph understanding and conceptual learning. The study was conducted on kinematics and Newton's Laws of Motion with 67 high school students from two groups. The experimental group (EG) consisted of 34 students, while the…
Descriptors: High School Students, Discussion (Teaching Technique), Discussion Groups, Academic Achievement
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Harris, Frank – School Science Review, 2020
The year 2020 saw the outbreak of the COVID-19 pandemic that not only had wide-reaching social and economic consequences but also put healthcare systems under stress. Strategies for coping with the virus depended heavily on the interpretation of data. This article uses information from a UK upper tier local authority to examine how closely the…
Descriptors: Pandemics, COVID-19, Data Interpretation, Prediction
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Hewitt, Paul G. – Science Teacher, 2020
An economy that grows is good. Growth in income is certainly good. In general, growth is seen as a good thing. A global pandemic challenges this notion. Let's be careful of what we wish for- especially if growth is "exponential." This article describes exponential growth and doubling time, and shows how these concepts can be related to…
Descriptors: Science Instruction, Teaching Methods, Economic Development, Pandemics
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Mahmood, Munir; Vale, Colleen – Australian Mathematics Education Journal, 2020
The visual method in this paper solves linear inequalities in one variable by considering them initially as two competing linear expressions, each of which is then expressed as a linear equation. When the solution of these two linear equations exist, it is viewed as a highlighted area or a line. These linear equations convey the intended visual…
Descriptors: Problem Solving, Mathematics Instruction, Teaching Methods, Cognitive Ability
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Rodriguez, Jon-Marc G.; Harrison, A. Rayford; Becker, Nicole M. – Journal of Chemical Education, 2020
With recent curricular movements aimed at engaging students in science practices, more work is needed regarding evidence-based approaches for supporting students in developing competency in contexts such as chemistry. In this work, we focus on student engagement in constructing models related to graphical representations of reaction rate. Using…
Descriptors: Learner Engagement, Chemistry, Science Instruction, Graphs
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