Publication Date
| In 2026 | 0 |
| Since 2025 | 84 |
| Since 2022 (last 5 years) | 431 |
| Since 2017 (last 10 years) | 1079 |
| Since 2007 (last 20 years) | 2061 |
Descriptor
| Decision Making | 3353 |
| Data Analysis | 1102 |
| Data Collection | 862 |
| Data | 731 |
| Data Use | 564 |
| Higher Education | 434 |
| Elementary Secondary Education | 384 |
| Tables (Data) | 383 |
| Models | 366 |
| Foreign Countries | 350 |
| Academic Achievement | 349 |
| More ▼ | |
Source
Author
| Datnow, Amanda | 10 |
| Schildkamp, Kim | 10 |
| McIntosh, Kent | 9 |
| Marsh, Julie A. | 8 |
| Park, Vicki | 8 |
| Reeves, Todd D. | 8 |
| Greenwood, Charles R. | 7 |
| Buzhardt, Jay | 6 |
| Lane, Kathleen Lynne | 6 |
| Mandinach, Ellen B. | 6 |
| Shen, Jianping | 6 |
| More ▼ | |
Publication Type
Education Level
Audience
| Practitioners | 119 |
| Administrators | 115 |
| Teachers | 89 |
| Policymakers | 66 |
| Researchers | 62 |
| Students | 16 |
| Media Staff | 13 |
| Parents | 9 |
| Counselors | 8 |
| Support Staff | 6 |
| Community | 5 |
| More ▼ | |
Location
| California | 104 |
| Australia | 67 |
| Texas | 55 |
| Canada | 50 |
| Florida | 47 |
| United States | 43 |
| New York | 39 |
| Massachusetts | 34 |
| Pennsylvania | 34 |
| Illinois | 33 |
| Tennessee | 29 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards with or without Reservations | 2 |
| Does not meet standards | 1 |
Peer reviewed
Direct linkDivya Varier; Sehyun Yun – Journal of Early Childhood Teacher Education, 2023
The article describes a systematic review of 109 studies using the data-informed decision-making framework to understand the sources of assessment data and the main purposes for assessment use among early childhood educators. Findings revealed assessment use is driven by the purposes of measuring and monitoring children's learning and development,…
Descriptors: Evaluation Utilization, Data Use, Decision Making, Early Childhood Teachers
Eric Ortega González; Jairo Jiménez – Educational Philosophy and Theory, 2025
This article examines contemporary educational practices within the rapidly evolving landscape of Artificial Intelligence. We do so by analysing the relationship between artificiality and naturalness in education. Education, often characterized as a human and thus natural-historical phenomenon, now appears increasingly shaped by artificial…
Descriptors: Artificial Intelligence, Educational Practices, Man Machine Systems, Data Analysis
Marissa J. Filderman; Alicia A. Stewart; Allie M. Cramer; Sarah S. Hughes-Berheim; Elizabeth Swanson – Remedial and Special Education, 2025
Many students in the upper elementary grades and beyond uniquely struggle with reading comprehension, necessitating explicit instruction and remediation in this area. This U.S. study used data-based decision-making (DBDM), a research-based systematic approach to student data collection and analysis, to intensify the evidence-based Strategies for…
Descriptors: Reading Comprehension, Data Use, Decision Making, Intervention
Wang, Rong; Orr, James E., Jr. – Journal of College Student Retention: Research, Theory & Practice, 2022
Higher education institutions have prioritized supporting undecided students with their major and career decisions for decades. This study used a U.S. public research-focused university's large-scale institutional data set and undecided student's retention and graduation rate predictors to demonstrate how to couple student and institutional data…
Descriptors: Data Use, Decision Making, Predictor Variables, Academic Advising
Download full textGodfrey-Faussett, Thomas – Education Sciences, 2022
Research in the UK is increasingly regulated by ethics review committees (RECs) which require researchers to seek ethics approval before commencing research. These RECs routinely expect researchers to anonymise data as part of standard ethical research practice. However, the anonymisation of data may sit in tension with participatory approaches to…
Descriptors: Foreign Countries, Participatory Research, Ethics, Decision Making
Grenci, Richard T. – Decision Sciences Journal of Innovative Education, 2022
This article presents a project that uses a business context to introduce students to a multiphase approach to analytics while relying primarily on an introductory Excel course for prerequisite knowledge. A range of analytics techniques--including Excel Pivot tables and charts, regression trend lines, and linear programming--are combined into an…
Descriptors: Data Analysis, Computer Software, Business Administration Education, Decision Making
Institute for Women's Policy Research, 2021
Head Start, the largest early learning program in the United States, provides free federally funded, high-quality early learning for children alongside wraparound supports for parents. Its mission includes helping families achieve self-sufficiency and economic security, such as by helping parents access and succeed in college and workforce…
Descriptors: Partnerships in Education, Preschool Education, Disadvantaged Youth, College School Cooperation
Samantha R. Bradley – ProQuest LLC, 2024
Institutional researchers are acutely aware of the systemic inequities pervasive throughout higher education in the United States because the data that we collect, analyze, visualize, and disseminate quantifies and reveals them. As calls for addressing issues of equity have intensified across campuses, the question of how institutional research…
Descriptors: Institutional Research, Institutional Evaluation, Visual Aids, Design
Jing Chen; Bei Fang; Hao Zhang; Xia Xue – Interactive Learning Environments, 2024
High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…
Descriptors: MOOCs, Potential Dropouts, Prediction, Artificial Intelligence
Skhvediani, Angi; Sosnovskikh, Sergey; Rudskaia, Irina; Kudryavtseva, Tatiana – Journal of Education for Business, 2022
The development of digital technologies has created a market need for specialists working with the big data that is necessary for making management decisions. This study aims to identify the skills structure of the data analyst profession (DAP) in Russia. The authors used a program code written in Python to examine relevant vacancies extracted…
Descriptors: Data Analysis, Employment Qualifications, Higher Education, Curriculum Development
Barnes, Nicole; Brighton, Catherine M.; Fives, Helenrose; Meyers, Coby; Moon, Tonya R. – Theory Into Practice, 2022
Data use has gained policy traction at the federal, state, and local levels in the United States and internationally, and is now embedded in teacher, principal, and district leader standards in the U.S. However, many decisions implemented in policy and practice are being made on insufficient evidence and assume a relatively straightforward,…
Descriptors: Teaching Methods, Data Use, Decision Making, Educational Policy
Cerna, Oscar; Dukes, Dominique; Perera, Sumner – MDRC, 2022
Implementing institution-wide, systemic change is typically a long and often challenging task for college leaders to undertake. Because each institution is different, the combination of internal and external factors that drive institutional change can vary greatly from college to college, and from moment to moment. Achieving the Dream (ATD), which…
Descriptors: Organizational Change, Achievement Gap, Colleges, Community Colleges
Perez, Zeke, Jr.; von Zastrow, Claus – Education Commission of the States, 2023
Data governance is a core obligation for leaders and staff across any agency that collects, stores or uses individuals' data. It ensures that individuals' personal information is protected, and can support the continuous improvement of data quality and use, particularly when it includes well-defined processes, structure and responsibilities.…
Descriptors: Governance, Data Use, Privacy, Information Management
Thomas R. Guskey, Editor; Cassandra Erkens, Contributor; Katie White, Contributor; Mandy Stalets, Contributor; Garnet Hillman, Contributor; Tim Brown, Contributor; Tom Hierck, Contributor; Tom Schimmer, Contributor; Sharon V. Kramer, Contributor; Sarah Schuhl, Contributor; Anthony R. Reibel, Contributor; Joellen Killion, Contributor – Solution Tree, 2025
In "The Teacher as Assessment Leader, Second Edition," editor Thomas R. Guskey and expert contributors offer research-backed strategies for re-envisioning assessment to enhance student learning and teacher instruction. The authors provide actionable steps, practical examples, and strategies for utilizing formative assessments. These…
Descriptors: Teacher Leadership, Formative Evaluation, Data Analysis, Evidence Based Practice
Robin Irey; Rebecca Silverman; Francesca Pei; Maria Luisa Gorno-Tempini – Phi Delta Kappan, 2025
Growing awareness of reading difficulties such as dyslexia have prompted the rise of legislation requiring schools to screen all students for reading difficulties. Universal screening programs involve quick, regular assessments of specific reading-related skills so that educators can determine which students need support. Robin Irey and colleagues…
Descriptors: Emergent Literacy, Screening Tests, Reading Difficulties, Dyslexia
