Publication Date
| In 2026 | 0 |
| Since 2025 | 27 |
Descriptor
| Data Analysis | 27 |
| Problem Solving | 11 |
| Research Problems | 8 |
| Decision Making | 6 |
| Data Use | 5 |
| Statistics Education | 5 |
| Teaching Methods | 5 |
| Computation | 4 |
| Data Collection | 4 |
| Research Methodology | 4 |
| Visual Aids | 4 |
| More ▼ | |
Source
Author
Publication Type
| Journal Articles | 23 |
| Reports - Research | 18 |
| Reports - Descriptive | 4 |
| Information Analyses | 3 |
| Reports - Evaluative | 3 |
| Books | 1 |
| Guides - Classroom - Teacher | 1 |
| Speeches/Meeting Papers | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 5 |
| Middle Schools | 5 |
| Postsecondary Education | 5 |
| Secondary Education | 5 |
| Elementary Education | 4 |
| Junior High Schools | 4 |
| High Schools | 3 |
| Elementary Secondary Education | 2 |
| Grade 5 | 1 |
| Intermediate Grades | 1 |
Audience
| Researchers | 1 |
| Teachers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Child Behavior Checklist | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkWilliam Reid Carlisle; Hyunyi Jung; Megan H. Wickstrom; Kayla Sutcliffe; Hee-jeong Kim – International Journal of Science and Mathematics Education, 2025
Although culturally responsive mathematics teaching is important, post-secondary education for preservice teachers (PTs) does not typically lead to learning opportunities for them to use mathematics to recognize the roles of social agents. To address this issue, we created a culturally responsive mathematical modeling task in which we invited PTs…
Descriptors: Mathematical Models, Culturally Relevant Education, Mathematics Education, Preservice Teacher Education
Francis Huang; Brian Keller – Large-scale Assessments in Education, 2025
Missing data are common with large scale assessments (LSAs). A typical approach to handling missing data with LSAs is the use of listwise deletion, despite decades of research showing that approach can be a suboptimal strategy resulting in biased estimates. In order to help researchers account for missing data, we provide a tutorial using R and…
Descriptors: Research Problems, Data Analysis, Statistical Bias, International Assessment
Download full textWan-Chong Choi; Chan-Tong Lam; António José Mendes – International Educational Data Mining Society, 2025
Missing data presents a significant challenge in Educational Data Mining (EDM). Imputation techniques aim to reconstruct missing data while preserving critical information in datasets for more accurate analysis. Although imputation techniques have gained attention in various fields in recent years, their use for addressing missing data in…
Descriptors: Research Problems, Data Analysis, Research Methodology, Models
Stephanie Wermelinger; Marco Bleiker; Moritz M. Daum – Infant and Child Development, 2025
Children's fuzziness leads to increased variance in the data, data loss, and high dropout rates in developmental studies. This study investigated the importance of 20 factors on the person (child, caregiver, experimenter) and situation (task, method, time, and date) level for the data quality as indicated via the number of valid trials in 11…
Descriptors: Infants, Young Children, Research Problems, Factor Analysis
Tenzin Doleck; Pedram Agand; Dylan Pirrotta – Education and Information Technologies, 2025
As is rapidly becoming clear, data science increasingly permeates many aspects of life. Educational research recognizes the importance and complexity of learning data science. In line with this imperative, there is a growing need to investigate the factors that influence student performance in data science tasks. In this paper, we aimed to apply…
Descriptors: Prediction, Data Science, Performance, Data Analysis
Han-Ling Jiang; Lin-Hua Lu; Tsunwai Wesley Yuen; Yu-Lun Liu; Conrad Coelho – Journal of Marketing Education, 2025
Data-driven marketing analytics courses are integral to modern business management degrees in universities, yet many graduates focus solely on single, separated data analysis techniques during their learning process, hindering effective integration and practical performance. This study proposes that employing the Fishbowl method, which divides…
Descriptors: Marketing, Business Education, Data Analysis, Active Learning
Tina Law; Elizabeth Roberto – Sociological Methods & Research, 2025
Although there is growing social science research examining how generative AI models can be effectively and systematically applied to text-based tasks, whether and how these models can be used to analyze images remain open questions. In this article, we introduce a framework for analyzing images with generative multimodal models, which consists of…
Descriptors: Artificial Intelligence, Visual Aids, Open Source Technology, Social Science Research
Elizabeth S. Peterson; Joseph A. Taylor – Educational Research and Reviews, 2025
The methodological controversy surrounding ordinal outcome data has posed a distinct challenge to the conceptualization, design, and conduct of research in the social and behavioral sciences for more than 75 years. Accordingly, this study sought to supply a comprehensive and multidisciplinary perspective of the debate and in so doing lay the…
Descriptors: Research Problems, Educational Research, Social Science Research, Research Methodology
Jane Watson; Noleine Fitzallen – Teaching Statistics: An International Journal for Teachers, 2025
The practice of statistics has the power to motivate and support learning across the STEM (Science, Technology, Engineering, and Mathematics) disciplines. When connected with meaningful science contexts, statistical problem solving through the collection of data and subsequent data analysis, supported by contemporary graphing technology, presents…
Descriptors: Elementary School Students, Grade 5, Statistics, Statistics Education
Joy Gaulden Bertling; Amanda Galbraith; Tabitha Wandell Doss; Rita Swartzentruber – Studies in Art Education: A Journal of Issues and Research in Art Education, 2025
With notions of data visualization expanding to include contemporary art and design, data visualization represents an important new dimension for transdisciplinary art education. The pedagogical potential of these practices has begun to be recognized in many fields, including art education. However, despite substantial interest, little research…
Descriptors: Art Education, Visual Aids, Data Analysis, Creativity
Kaitlyn Coburn; Kris Troy; Carly A. Busch; Naomi Barber-Choi; Kevin M. Bonney; Brock Couch; Marcos E. García-Ojeda; Rachel Hutto; Lauryn Famble; Matt Flagg; Tracy Gladding; Anna Kowalkowski; Carlos Landaverde; Stanley M. Lo; Kimberly MacLeod; Blessed Mbogo; Taya Misheva; Andy Trinh; Rebecca Vides; Erik Wieboldt; Cara Gormally; Jeffrey Maloy – CBE - Life Sciences Education, 2025
Trans* and genderqueer student retention and liberation is integral for equity in undergraduate education. While STEM leadership calls for data-supported systemic change, the erasure and othering of trans* and genderqueer identities in STEM research perpetuates cisnormative narratives. We sought to characterize how sex and gender data are…
Descriptors: LGBTQ People, Transgender People, Disproportionate Representation, Educational Research
Kathleen Lynne Lane; Katie Scarlett Lane Pelton; Nathan Allen Lane; Mark Matthew Buckman; Wendy Peia Oakes; Kandace Fleming; Rebecca E. Swinburne Romine; Emily D. Cantwell – Behavioral Disorders, 2025
We report findings of this replication study, examining the internalizing subscale (SRSS-I4) of the revised version of the Student Risk Screening Scale for Internalizing and Externalizing behavior (SRSS-IE 9) and the internalizing subscale of the Teacher Report Form (TRF). Using the sample from 13 elementary schools across three U.S. states with…
Descriptors: Data Analysis, Decision Making, Data Use, Measures (Individuals)
Jo Boaler; Cathy Williams – Corwin, 2025
How can we prepare students for a world where data-driven decision-making shapes nearly every aspect of life? "Data Minds: How Today's Teachers Can Prepare Students for Tomorrow's World" helps K-8 educators infuse data literacy into everyday lessons across disciplines, without overwhelming existing curricula. Data literacy is an ability…
Descriptors: Data Use, Decision Making, Information Literacy, Data Analysis
Wayne Nirode – Mathematics Teacher: Learning and Teaching PK-12, 2025
This article details an exploratory data analysis project using the Common Online Data Analysis Platform (CODAP) based on the "Guidelines for Assessment and Instruction in Statistics Education" (GAISE) four-part statistical problem-solving model. The project goal was to answer what similarities and differences exist within the school…
Descriptors: Data Analysis, Problem Solving, Models, Common Core State Standards
Candace Walkington; Matthew Bernacki; Elizabeth Leyva; Brooke Istas – Journal for Research in Mathematics Education, 2025
Algebra has been identified as a gatekeeper to careers in STEM, but little research exists on how algebra appears for practitioners in the workplace. Surveys and interviews were conducted with 77 STEM practitioners from a variety of fields, examining how they reported using algebraic functions in their work. Survey and interview reports suggest…
Descriptors: Algebra, Mathematics, Computation, Mathematical Formulas
Previous Page | Next Page »
Pages: 1 | 2
