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Bolch, Charlotte; Crippen, Kent – Statistics Education Research Journal, 2022
The purpose of the study was to understand the experiences of data scientists regarding common skills and strategies of interpreting and creating data visualizations. In this Delphi study, the participants were researchers in Data Science using three rounds of surveys. Skills and strategies were identified after Delphi Panel 1 and then brought…
Descriptors: Statistics Education, Visual Aids, Data Analysis, Delphi Technique
Lumbantobing, Rotua; McFall, Todd – Teaching Statistics: An International Journal for Teachers, 2022
In this article, we offer a teaching lesson on combinatorics and binary outcomes that utilizes real-world data. The focus of the lesson is to teach students how to analyze the effects of the National Basketball Association's (NBA) 2003 decision to extend the first round of its postseason from a best-of-five series of games to a best-of-seven…
Descriptors: Statistics Education, Team Sports, Teaching Methods, Decision Making
Minju Hong – ProQuest LLC, 2022
Reliability indicates the internal consistency of a test. In educational studies, reliability is a key feature for a test. Researchers have proposed many traditional reliability estimates, such as coefficient alpha and coefficient omega. However, traditional reliability indices do not deal with the data hierarchy, even though the multilevel…
Descriptors: Hierarchical Linear Modeling, Factor Analysis, Factor Structure, Test Reliability
Han, Yoon Shik – ProQuest LLC, 2022
Numerous prior literature pointed out the disconnection of knowledge and skills between the classroom and the workplace, especially regarding data analytic skills in the big data era. However, the studies on integrating data analytics, including the current IS/IT environment, into the accounting curriculum are minimal. This study provides an…
Descriptors: Data Analysis, Accounting, Business Administration Education, Skill Development
Jordan P. Beck; Diane M. Miller – Journal of Chemical Education, 2022
A version of the classic rotationally resolved infrared (IR) spectrum of a diatomic molecule experiment has been developed using the POGIL framework to more fully engage students in the collection, modeling, analysis, and interpretation of the data. An analysis of the experimental protocol reveals that the POGIL approach actively engages students…
Descriptors: Learner Engagement, Chemistry, Science Instruction, Laboratory Experiments
Adam C. Sales; Ethan Prihar; Johann Gagnon-Bartsch; Ashish Gurung; Neil T. Heffernan – Grantee Submission, 2022
Randomized A/B tests allow causal estimation without confounding but are often under-powered. This paper uses a new dataset, including over 250 randomized comparisons conducted in an online learning platform, to illustrate a method combining data from A/B tests with log data from users who were not in the experiment. Inference remains exact and…
Descriptors: Research Methodology, Educational Experiments, Causal Models, Computation
Vincent Dorie; George Perrett; Jennifer L. Hill; Benjamin Goodrich – Grantee Submission, 2022
A wide range of machine-learning-based approaches have been developed in the past decade, increasing our ability to accurately model nonlinear and nonadditive response surfaces. This has improved performance for inferential tasks such as estimating average treatment effects in situations where standard parametric models may not fit the data well.…
Descriptors: Statistical Inference, Causal Models, Artificial Intelligence, Data Analysis
Allie Michael; Abdullah O. Akinde – Assessment Update, 2024
Open-ended responses to surveys can be highly beneficial to higher education institutions, providing clarity and context that quantitative data can sometimes lack. However, analyzing open-ended responses typically takes time and manpower most institutional assessment offices do not have to spare. This study focused on finding a potential solution…
Descriptors: Artificial Intelligence, Natural Language Processing, Student Surveys, Feedback (Response)
Joy G. Bertling; Chris Grodoski; Amanda Galbraith; Ericka Ryba; Lynn Hodge – Art Education, 2024
Despite vital professional development support through the National Art Education Association's Data Visualization Working Group and other scholars' engagement with the topic in the literature, pedagogical literature that connects contemporary data visualization methods to art teaching practices is limited. While acknowledging that many of us have…
Descriptors: Art Education, Visual Aids, Data Analysis, Teaching Methods
Yulei Gavin Zhang; Mandy Yan Dang; M. David Albritton – Journal of Information Systems Education, 2024
The current study details the development of an undergraduate business analytics course that combines components of both active and experiential learning. The course offering is designed to expose students from different backgrounds to an intermediate-to-advanced level of business analytics. The course is unique in that it was designed to be…
Descriptors: Information Retrieval, Data Analysis, Undergraduate Students, Active Learning
Kyle T. Ganson; Alexander Testa; Rachel F. Rodgers; Dylan B. Jackson; Jason M. Nagata – Journal of School Health, 2024
Background: This study aimed to investigate the association between violent sexual victimization and muscle-building exercise among adolescents. Methods: Cross-sectional data from the 2019 National Youth Risk Behavior Survey (N = 8408) were analyzed. Two indicators of non-dating-related sexual violence (lifetime, past 12 months), along with one…
Descriptors: Violence, Sexual Abuse, Victims of Crime, Adolescents
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
Joseph Madaus; Nicholas Gelbar; Michael Faggella-Luby; Lyman L. Dukes III; Shannon Langdon – Journal of Postsecondary Education and Disability, 2024
While early literature in accessibility services in postsecondary education largely focused on physically disabled students, their presence in the peer-reviewed literature from 1951-2012 was described as sparse by Gelbar et al. (2015). The studies that existed were largely descriptive, and no studies investigated the effectiveness of…
Descriptors: Literature Reviews, Higher Education, College Students, Students with Disabilities
Emily Rauscher; Xinyan Cao – RSF: The Russell Sage Foundation Journal of the Social Sciences, 2024
Using National Vital Statistics Birth and Fetal Death Data from 1995 to 2020 linked to county-level information on wildfires, we use variation in wildfire timing to examine how effects of wildfire exposure on infant health vary by maternal education. Results indicate that wildfire exposure increases the likelihood of low birth weight and fetal…
Descriptors: Infant Care, Infant Mortality, Mothers, Parent Background
Li Chao Jing – SAGE Open, 2024
Breaking through the company's own green knowledge barriers through school-enterprise cooperation has become an important means for companies to expand market competitive advantages and environmental governance. This article uses China's non-financial listed company data from 2010 to 2021 to study the causal effect of school-enterprise cooperation…
Descriptors: School Business Relationship, Cooperation, Sustainable Development, Conservation (Environment)