Publication Date
| In 2026 | 0 |
| Since 2025 | 243 |
| Since 2022 (last 5 years) | 1551 |
| Since 2017 (last 10 years) | 4376 |
| Since 2007 (last 20 years) | 12137 |
Descriptor
Source
Author
| Burstein, Leigh | 18 |
| Gaševic, Dragan | 18 |
| McClurg, Ronald B. | 17 |
| Onwuegbuzie, Anthony J. | 17 |
| Barnes, Tiffany | 16 |
| Ingels, Steven J. | 16 |
| Little, Todd D. | 16 |
| Johnson, L. | 14 |
| Price, Gary G. | 14 |
| Pardo, Abelardo | 13 |
| Selwyn, Neil | 13 |
| More ▼ | |
Publication Type
Education Level
Audience
| Teachers | 675 |
| Practitioners | 651 |
| Researchers | 463 |
| Policymakers | 297 |
| Administrators | 258 |
| Students | 84 |
| Media Staff | 39 |
| Counselors | 34 |
| Community | 29 |
| Parents | 27 |
| Support Staff | 8 |
| More ▼ | |
Location
| Australia | 526 |
| United States | 417 |
| California | 336 |
| Canada | 323 |
| United Kingdom | 289 |
| Turkey | 281 |
| Texas | 243 |
| Florida | 198 |
| United Kingdom (England) | 189 |
| New York | 170 |
| China | 149 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 4 |
| Meets WWC Standards with or without Reservations | 7 |
| Does not meet standards | 14 |
Peer reviewed
Download full textMirjam Sophia Glessmer; Rachel Forsyth – Teaching & Learning Inquiry, 2025
Generative AI tools (GenAI) are increasingly used for academic tasks, including qualitative data analysis for the Scholarship of Teaching and Learning (SoTL). In our practice as academic developers, we are frequently asked for advice on whether this use for GenAI is reliable, valid, and ethical. Since this is a new field, we have not been able to…
Descriptors: Artificial Intelligence, Research Methodology, Data Analysis, Scholarship
Direct linkGuiyun Feng; Honghui Chen – Education and Information Technologies, 2025
Data mining has been successfully and widely utilized in educational information systems, and an important research field has been formed, which is educational data mining. Process mining inherits the characteristics of data mining which can not only use historical data in the system to analyze learning behavior and predict academic performance,…
Descriptors: Educational Research, Artificial Intelligence, Data Use, Algorithms
Fariba Nosrati; Timothy Burns; Yuan Gao; Cherie Sherman – Information Systems Education Journal, 2025
The purpose of this study is to investigate the current state of graduate level business analytics education in the United States. The goal of this research is twofold. The first goal is to understand how higher education institutions are addressing the growing demand for analysts and data-savvy managers in the job market. To achieve this aim, the…
Descriptors: Graduate Students, Data Analysis, Statistics Education, Labor Needs
Jon M. Wargo – Language Arts, 2025
In this article, the author examines how young learners became critical information architects for presenting community and classroom data. The article begins with an overview of the literature on critical literacy, critical data literacy, and young children's visual cultures. Next, it lays out the project's context, modes of inquiry, and methods…
Descriptors: Childrens Literature, Young Children, Reading Processes, Critical Reading
Daniel Libertz – Composition Forum, 2025
Over the past decade, more attention to data, quantitative, and critical data literacies in writing studies has led to a variety of approaches for getting students to experiment with data in their writing projects. This article explores an approach combining "data feminism" and "quantitative rhetoric" that asks students to…
Descriptors: Feminism, Information Literacy, Data Analysis, Intersectionality
Martin Abt; Katharina Loibl; Timo Leuders; Wim Van Dooren; Frank Reinhold – Educational Studies in Mathematics, 2025
In the boxplot, the box always represents -- regardless of its area -- the middle half of the data and thus a measure of variability (interquartile range). However, when students first learn about boxplots, they are usual already familiar with other forms of statistical representations (e.g., bar or circle graphs) in which a larger area represents…
Descriptors: College Students, Data Analysis, Graphs, Error Patterns
Manel van Kessel; Inge Molenaar; Carolien A. N. Knoop-van Campen; Mario de Jonge; Nadira Saab – Journal of Learning Analytics, 2025
Adaptive learning technologies (ALTs) provide teachers with student data in teacher dashboards (TDs). However, there is substantial variation in dashboard use among teachers, and many find it difficult to draw conclusions based on student data. Teachers' skills, knowledge, and contextual conditions are believed to be essential in effective…
Descriptors: Elementary School Teachers, Technology Uses in Education, Teacher Attitudes, Data Collection
Damaris D. E. Carlisle – Sage Research Methods Cases, 2025
This case study explores the use of large language models (LLMs) as analytical partners for data exploration and interpretation. Grounded in original research, it navigates the intricacies of using LLMs for uncovering themes from datasets. The study tackles various methodological and practical challenges encountered during the research process…
Descriptors: Artificial Intelligence, Natural Language Processing, Data Analysis, Data Interpretation
Michael O. Martin, Editor; Julian Fraillon, Editor; Heiko Sibberns, Editor; Betina Borisova, Contributor; Ekaterina Buzkich, Contributor; David Ebbs, Contributor; Eugenio Gonzalez, Contributor; Seamus Hegarty, Contributor; Sabine Meinck, Contributor; Sebastian Meyer, Contributor; Irini Moustaki, Contributor; Lauren Musu, Contributor; Keith Rust, Contributor; Ulrich Sievers, Contributor; Matthias von Davier, Contributor; Kentaro Yamamoto, Contributor – International Association for the Evaluation of Educational Achievement, 2025
This publication presents "IEA's Technical Standards for International Large-Scale Assessment." The initial standards, published in 1999, aimed to consolidate the best practices and methodological rigor in IEA's approach to educational assessment, addressing the unique needs of international studies. The standards presented in this…
Descriptors: International Assessment, Standards, Test Construction, Data Collection
Prokofieva, Maria – Education and Information Technologies, 2023
External audit is undergoing rapid changes where more and more routine tasks are automated with analytics and artificial intelligence (AI) instruments. The paper addresses a research problem of mapping data analytics to audit tasks and develops a framework aligning audit phases and AI and using data analytics in teaching audit with AI. The paper…
Descriptors: Data Analysis, Financial Audits, Artificial Intelligence, Curriculum Development
Lichtenstein, Matty; Rucks-Ahidiana, Zawadi – Sociological Methods & Research, 2023
With the growing availability of large-scale text-based data sets, there is an increasing need for an accessible and systematic way to analyze qualitative texts. This article introduces and details the contextual text coding (CTC) method as a mixed-methods approach to large-scale qualitative data analysis. The method is particularly useful for…
Descriptors: Coding, Qualitative Research, Data Analysis, Alternative Assessment
de Leeuw, Tim; Keijl, Steffen – Sociological Methods & Research, 2023
Although multiple organizational-level databases are frequently combined into one data set, there is no overview of the matching methods (MMs) that are utilized because the vast majority of studies does not report how this was done. Furthermore, it is unclear what the differences are between the utilized methods, and it is unclear whether research…
Descriptors: Databases, Methods, Organizations (Groups), Observation
Victoria Reyes; Elizabeth Bogumil; Levin Elias Welch – Sociological Methods & Research, 2024
Transparency is once again a central issue of debate across types of qualitative research. Work on how to conduct qualitative data analysis, on the other hand, walks us through the step-by-step process on how to code and understand the data we've collected. Although there are a few exceptions, less focus is on transparency regarding…
Descriptors: Qualitative Research, Data Analysis, Guides, Databases
Francis L. Huang – Large-scale Assessments in Education, 2024
The use of large-scale assessments (LSAs) in education has grown in the past decade though analysis of LSAs using multilevel models (MLMs) using R has been limited. A reason for its limited use may be due to the complexity of incorporating both plausible values and weighted analyses in the multilevel analyses of LSA data. We provide additional…
Descriptors: Hierarchical Linear Modeling, Evaluation Methods, Educational Assessment, Data Analysis
Céline Chapelle; Gwénaël Le Teuff; Paul Jacques Zufferey; Silvy Laporte; Edouard Ollier – Research Synthesis Methods, 2024
The number of meta-analyses of aggregate data has dramatically increased due to the facility of obtaining data from publications and the development of free, easy-to-use, and specialised statistical software. Even when meta-analyses include the same studies, their results may vary owing to different methodological choices. Assessment of the…
Descriptors: Meta Analysis, Replication (Evaluation), Data Analysis, Statistical Analysis
