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Namanloo, Alireza A.; Thorpe, Julie; Salehi-Abari, Amirali – International Educational Data Mining Society, 2022
Peer assessment systems are emerging in many settings, such as peer grading in large (online) classes, peer review in conferences, peer art evaluation, etc. However, peer assessments might not be as accurate as expert evaluations, thus rendering these systems unreliable. The reliability of peer assessment systems is influenced by various factors…
Descriptors: Peer Evaluation, Graphs, Models, Self Evaluation (Individuals)
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Foster, Colin – For the Learning of Mathematics, 2022
In this article, I argue that the common practice across many school mathematics curricula of using a variety of different representations of number may diminish the coherence of mathematics for students. Instead, I advocate prioritising a single representation of number (the number line) and applying this repeatedly across diverse content areas.…
Descriptors: Mathematics Instruction, Mathematics Curriculum, Numbers, Multiplication
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Aydin-Güç, Funda; Özmen, Zeynep Medine; Güven, Bülent – Journal of Educational Research, 2022
The purpose of this study is to identify and assess the difficulties experienced by the 11th grade students regarding generating, interpreting and comparing scatter plots. The study was carried out with 40 students-enrolled in 11th grade. The difficulties of students were identified through an achievement test on generating, interpreting, and…
Descriptors: Graphs, Grade 11, High School Students, Mathematics Education
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Johnson, Heather Lynn – Mathematical Thinking and Learning: An International Journal, 2022
It is well known that students benefit from opportunities to interpret and create different representations (e.g., diagrams, graphs, tables, symbols) of mathematical ideas. Employing Marton's Variation theory as a lens, I argue for an expansion of the use of multiple representations in task design for graphs: Incorporate two different forms of the…
Descriptors: Task Analysis, Mathematics Instruction, Thinking Skills, Graphs
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Robinson, Alexander; Keller, L. Robin; del Campo, Cristina – Decision Sciences Journal of Innovative Education, 2022
COVID-19 pandemic policies requiring disease testing provide a rich context to build insights on true positives versus false positives. Our main contribution to the pedagogy of data analytics and statistics is to propose a method for teaching updating of probabilities using Bayes' rule reasoning to build understanding that true positives and false…
Descriptors: Data, Error Patterns, Visual Aids, Graphs
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Saskia Schreiter; Markus Vogel – Educational Studies in Mathematics, 2025
The ability to interpret and compare data distributions is an important educational goal. Inherent in the statistical concept of distribution is the need to focus not only on individual data points or small groups of data points (so-called local view), but to perceive a distribution as a whole, allowing to recognize global features such as center,…
Descriptors: Eye Movements, Statistical Distributions, Data Interpretation, Data Analysis
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Saldanha, Luis; Hatfield, Neil – Canadian Journal of Science, Mathematics and Technology Education, 2021
Six 7th-grade students engaged with an instructional sequence involving the use of the "TinkerPlots" software to organize data sets in ways intended to help them construe two attributes: the location of quarters of the data within a sub-range of the entire set, and the spread of those portions. We present evidence of students' thinking…
Descriptors: Middle School Students, Grade 7, Computer Software, Statistics
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Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2021
This is the fifth in a series of statistical articles for mathematics teachers. In this article the authors discuss graphs for exploring relationships between one categorical variable and one numerical variable using stemplots and boxplots and between two numerical variables, using scatterplots and time series plots. [For "The Data Files 4:…
Descriptors: Mathematics Instruction, Graphs, Mathematical Concepts, Visual Aids
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Zheng, Lanqin; Niu, Jiayu; Long, Miaolang; Fan, Yunchao – British Journal of Educational Technology, 2023
Computer-supported collaborative learning (CSCL) has been an effective pedagogy in the field of education. However, productive collaborative learning often does not occur spontaneously, and learners often have difficulties with collaborative knowledge building and socially shared regulation. To address this research gap, this study proposes an…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Graphs, College Students
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Moskovitz, Cary – Journal of College Science Teaching, 2023
Visual elements such as graphs, tables, and diagrams are essential components of scientific writing. Although scientific writing textbooks and guides often contain information on how to design such visuals, little has been written on how to effectively discuss those visuals within the text. This article offers a novel heuristic for teaching…
Descriptors: Science Education, Textbooks, Textbook Preparation, Technical Writing
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Yoshida, Masami; Xiong, Chun; Liu, Yunyun; Liu, Hongyan – Interactive Learning Environments, 2023
This study aims to identify the formulation differences of groups in two online activities in a university course with different strategies by using social network analysis. Specifically, the connections within the members and identification of brokers were analyzed. Whilst the group enhancing a "community of practice" in WeChat by…
Descriptors: Communities of Practice, Social Networks, Network Analysis, Social Media
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Weigel, Emily G.; Angra, Aakanksha – Journal of College Science Teaching, 2023
In the information age, the acquisition of data literacy skills has become increasingly important for undergraduate student success, yet these skills are not emphasized in the lecture setting. Here we present a study to inspire educators to scaffold graph knowledge and interpretation into their classrooms. Specifically, we sought to understand how…
Descriptors: Science Instruction, Active Learning, Animal Behavior, Graphs
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LaLonde, Kate; VanDerwall, Rena; Truckenmiller, Adrea J.; Walsh, Meagan – Psychology in the Schools, 2023
The current study used a randomized control trial to evaluate a decision-making model on special education preservice candidates' instructional decision-making and self-reported confidence ratings when analyzing graphed student data. Thirty-two special education preservice candidates viewed authentic curriculum-based measurement (CBM) graphs and…
Descriptors: Decision Making, Models, Special Education, Preservice Teachers
Dragos Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2023
Reading comprehension is essential for both knowledge acquisition and memory reinforcement. Automated modeling of the comprehension process provides insights into the efficacy of specific texts as learning tools. This paper introduces an improved version of the Automated Model of Comprehension, version 3.0 (AMoC v3.0). AMoC v3.0 is based on two…
Descriptors: Reading Comprehension, Models, Concept Mapping, Graphs
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Saba Gerami – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
In this study, I present how eight U.S. college calculus instructors with different patterns of inquiry practices used instructional situations to frame instructional tasks for introducing derivatives graphically to students. During four interviews, the instructors proposed up to eight tasks for introducing derivatives physically, graphically,…
Descriptors: College Mathematics, Mathematics Instruction, Teaching Methods, Undergraduate Students
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