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Reza Moeti; Abolfazl Rafiepour; Mohammad Reza Fadaee – Mathematics Teaching Research Journal, 2024
Despite the increasing interest in data science education in the world, its teaching is not included in the curricula (junior secondary) and there is little information about it. Google Trends is discussed as a tool and database in school data science. Also, in different subjects, students were able to create and interpret graphs using this tool.…
Descriptors: Foreign Countries, Data Science, Statistics Education, Middle School Students
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Anders Wiik; Pauline Vos – Adults Learning Mathematics, 2024
In 2020, the COVID-19 pandemic urged authorities to share quantitative information such as infection and death rates. One way of disseminating was through graphs, maps, and diagrams. Such data visualizations communicate numeric data in compact ways, but also require a particular mathematical literacy from readers. We conceptualized this particular…
Descriptors: Journalism, COVID-19, Pandemics, Visual Aids
Robert Lesley – ProQuest LLC, 2024
The focus of this study was derived from staggering attrition rates that it calls centers year over year. At times call centers post-COVID-19 pandemic saw attrition rates fluctuating between 30%-50%. With any job there are challenges that are faced. These attrition rates stand 28%-40% higher than the United States 2023 national attrition rates of…
Descriptors: Staff Orientation, Performance Based Assessment, Quality Assurance, Utilities
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Tim Erickson – Australian Mathematics Education Journal, 2024
This is the third in a series of articles describing CODAP and where it might be used to address content in the "Australian Curriculum: Mathematics" v9.0 (ACARA, 2022). We've talked before about model-ling and about statistics; this time, we'll talk about exploring probability using CODAP. As before, we have also prepared online pages…
Descriptors: Statistics Education, Data Analysis, Mathematical Concepts, Mathematics Curriculum
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Aswani Yaramala; Soheila Farokhi; Hamid Karimi – International Educational Data Mining Society, 2024
This paper presents an in-depth analysis of student behavior and score prediction in the ASSISTments online learning platform. We address four research questions related to the impact of tutoring materials, skill mastery, feature extraction, and graph representation learning. To investigate the impact of tutoring materials, we analyze the…
Descriptors: Student Behavior, Scores, Prediction, Electronic Learning
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Thiem, Alrik – Sociological Methods & Research, 2022
Qualitative Comparative Analysis (QCA) is a relatively young method of causal inference that continues to diffuse across the social sciences. However, recent methodological research has found the conservative (QCA-CS) and the intermediate solution type (QCA-IS) of QCA to fail fundamental tests of correctness. Even under conditions otherwise ideal…
Descriptors: Comparative Analysis, Causal Models, Inferences, Risk
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Stalnecker, Deirdre; Tan, Kevin; Alvarez, Michelle E. – Children & Schools, 2022
This study addresses a gap in the literature by examining K-12 administrators' perceptions of school social workers' usage of student data. Before the start of the 2020-2021 school year, school social workers from a national organization invited their administrators via email to complete a survey, producing 48 responses. Administrators perceived…
Descriptors: Administrator Attitudes, Social Work, School Social Workers, Elementary Secondary Education
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Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2022
Takers of educational tests often receive proficiency levels instead of or in addition to scaled scores. For example, proficiency levels are reported for the Advanced Placement (AP®) and U.S. Medical Licensing examinations. Technical difficulties and other unforeseen events occasionally lead to missing item scores and hence to incomplete data on…
Descriptors: Computation, Data Analysis, Educational Testing, Accuracy
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Best, Paul; Badham, Jennifer; McConnell, Tracey; Hunter, Ruth F. – International Journal of Social Research Methodology, 2022
Participatory Theme Elicitation (PTE) is a new approach to increasing user-involvement in qualitative data analysis. In this five-step method, participants independently identify themes in the data using open card sorting, and are supported in their development of a set of themes that reflect all participant views. We describe and evaluate PTE…
Descriptors: Qualitative Research, Data Analysis, Participation, Information Management
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Arslan, Okan; Xing, Wanli; Inan, Fethi A.; Du, Hanxiang – Journal of Computer Assisted Learning, 2022
Background: There has been increasing interest in online professional learning networks in a variety of social media platforms, especially in Twitter. Twitter offers immediacy, personalization, and support of networks to increase professional knowledge and the sense of membership. Knowing the topics discussed in Twitter and the factors that affect…
Descriptors: Electronic Learning, Social Media, Networks, Communities of Practice
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Karakaya-Ozyer, Kubra; Yildiz, Zeki – Education and Information Technologies, 2022
The purpose of the current research was to develop an electronic performance support system (EPSS) for quantitative data analysis by using design-based research. https://nicelanalizlericindesteksistemi.blogspot.com/ website was designed in Turkish to address the needs of educational researchers. There were four phases in the study. In the first…
Descriptors: Program Development, Program Evaluation, Educational Technology, Performance Technology
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Higgins, Linden E.; Smith, Julia M. – Research Evaluation, 2022
In 2015, a multidisciplinary group of academic researchers and extension personnel was awarded a US Department of Agriculture Coordinated Agricultural Project grant. The team's goal was to understand human decision-making in the context of potential livestock disease outbreaks, investigating the impediments to increased adoption of biosecurity…
Descriptors: Interdisciplinary Approach, Cooperation, Extension Agents, Researchers
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Andrikopoulou, Angeliki; Rowley, Jennifer; Walton, Geoff – New Review of Academic Librarianship, 2022
Academic libraries and their staff are increasingly involved in the Research Data Management (RDM) practices and processes in their universities. This article explores the impact that such initiatives have on the image and identity of academic libraries. This paper proposes that involvement in and leadership of RDM university practices has the…
Descriptors: Academic Libraries, Data Analysis, Information Management, Library Role
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Stoudt, Sara – Journal of Statistics and Data Science Education, 2022
To paraphrase John Tukey, the beauty of working with data is that you get to "play in everyone's backyard." A corollary to this statement is that working with data necessitates collaboration. Although students often learn technical workflows to wrangle and analyze data, these workflows may break down or require adjustment to accommodate…
Descriptors: Collaborative Writing, Communication Skills, Writing Strategies, Writing Processes
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Smith, Elizabeth E. – International Journal of Research & Method in Education, 2022
The purpose of this paper is to analyze the use of the exemplar methodology (ExM) as a method for selecting exemplars in education research. ExM is a systematic approach to selecting outliers that can be used to education researchers who investigate outliers to better understand phenomena among students, teachers, schools, and communities. While…
Descriptors: Research Methodology, Educational Research, Research Problems, Evaluation Criteria
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