Publication Date
| In 2026 | 0 |
| Since 2025 | 14 |
| Since 2022 (last 5 years) | 60 |
| Since 2017 (last 10 years) | 204 |
| Since 2007 (last 20 years) | 956 |
Descriptor
| Educational Assessment | 956 |
| Academic Achievement | 431 |
| Higher Education | 323 |
| Academic Standards | 317 |
| Tables (Data) | 289 |
| Educational Improvement | 257 |
| Data Analysis | 245 |
| College Readiness | 221 |
| Scores | 212 |
| Core Curriculum | 202 |
| Data | 202 |
| More ▼ | |
Source
Author
| Casserly, Michael | 5 |
| Lewis, Sharon | 5 |
| Heppen, Jessica | 4 |
| Orr, Michael | 4 |
| Raudonyte, Ieva | 4 |
| Simon, Candace | 4 |
| Uzzell, Renata | 4 |
| von Davier, Matthias | 4 |
| Capacia, Nemie | 3 |
| Donovan, Jenny | 3 |
| Kemple, James J. | 3 |
| More ▼ | |
Publication Type
Education Level
Audience
| Policymakers | 123 |
| Practitioners | 54 |
| Community | 50 |
| Teachers | 28 |
| Administrators | 17 |
| Researchers | 7 |
| Parents | 4 |
| Students | 3 |
| Counselors | 2 |
| Support Staff | 2 |
| Media Staff | 1 |
| More ▼ | |
Location
| Massachusetts | 35 |
| California | 32 |
| Florida | 31 |
| Ohio | 31 |
| North Carolina | 28 |
| Illinois | 27 |
| United States | 27 |
| Georgia | 25 |
| Pennsylvania | 25 |
| Texas | 24 |
| Canada | 23 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 2 |
| Meets WWC Standards with or without Reservations | 4 |
Download full textMichael 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
Peer reviewed
Direct linkCiji A. Heiser; Julene L. Jones; Glenn Allen Phillips – Assessment Update, 2024
Institutions of higher education are asked to consider how their work can advance equity in institutional outcomes. Assessment, too, has been asked to consider the ways in which traditional student assessment "privileges and validates certain types of learning and evidence of learning over others" (Montenegro and Jankowski 2017, p. 5).…
Descriptors: Higher Education, Equal Education, Educational Assessment, Professional Development
Barrett, Sheri H. – Stylus Publishing LLC, 2023
Written with faculty in mind, "Assessment by Design" is a practical resource that will also be useful to student affairs staff and administrators dedicated to using assessment to improve learning in curricular and co-curricular settings. This book presents the Cycle of Assessment as a framework that supports assessment in service of…
Descriptors: Educational Assessment, Evaluation, Planning, Data Collection
Rebecca Croxton; Bradley Coverdale; Amy Svirsky – Assessment Update, 2024
The Grand Challenges for Assessment in Higher Education project is a collaborative effort of 10 endorsing organizations and over 400 volunteers to increase the extent to which assessment (1) supports equity; (2) is visible, actionable, and drives innovation; and (3) guides rapid improvements in pedagogy (Singer-Freeman and Robinson 2020). Several…
Descriptors: Data, Visualization, Data Use, Educational Assessment
Thompson, Greg; Rutkowski, Leslie; Rutkowski, David – Phi Delta Kappan, 2023
Those asked to make valid decisions with data don't have the technical knowledge to understand nuance around data quality, assessment aims, and statistical limitations that influence how they should interpret the data. This reality is what Greg Thompson, Leslie Rutkowski, and David Rutkowski call the validity paradox. Educators can surmount this…
Descriptors: Validity, Decision Making, Data Use, Educational Assessment
Ali Kürsat Erümit; Hasan Yigit Cebeci; Sefa Özmen – TechTrends: Linking Research and Practice to Improve Learning, 2024
Although big data applications in education have different usage areas, they can make important contributions to the evaluation of universities and education systems, decision-making and strategy development, and improvement of the education system. In this study, which is considered to contribute to the academicians who will work on big data in…
Descriptors: Data Use, Higher Education, Bibliometrics, Educational Research
Sainan Xu; Jing Lu; Jiwei Zhang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…
Descriptors: Educational Assessment, Bayesian Statistics, Statistical Inference, Item Response Theory
Andrés Sandoval-Hernández; David Joseph Rutkowski – Educational Assessment, Evaluation and Accountability, 2025
This paper explores the potential of abductive reasoning to enhance the analysis of international large-scale assessments which have traditionally relied on deductive and inductive reasoning. While these conventional methods have provided valuable insights into global student achievement, they often fail to capture the complexity of educational…
Descriptors: International Assessment, Logical Thinking, Data Analysis, Educational Assessment
Gordon, Sarah; Smith, Elizabeth – Assessment & Evaluation in Higher Education, 2022
The role of faculty in gathering, analyzing and using student learning data is growing and changing, but still underrepresented in the higher education research literature. While faculty are often expected and required to participate in assessment work, some faculty go beyond assessment work as service to take leadership roles. Using data…
Descriptors: Teacher Role, Teacher Leadership, Leadership Role, Data Collection
Jarred Pernier; Freddy Juarez; Brittany Devies – New Directions for Student Leadership, 2025
Metrics, outcomes, and assessment are important, yet often forgotten, elements of effective leadership programs. This article will provide an overview of metrics, outcomes, and assessment in regard to leadership programs. The article will then provide example programs and practical guidance on using metrics, outcomes, and assessment in leadership…
Descriptors: Leadership Training, Educational Assessment, Evaluation Methods, Outcome Measures
Fahd Naveed Kausar; Cui Yuping; Noreen Ghazala; Quart-Ul-Ain Khan; Muhammad Usman Shah; Muhammad Sajjad – SAGE Open, 2024
Education is considered a key element in the formation of human capital, associated with the sustainable development of a country's economic growth. The study has investigated the relationship between education and Pakistan's economic growth in the short as well as long run. For measurement, thirty years of data spanning from 1987 to 2016 was used…
Descriptors: Foreign Countries, Human Capital, Sustainable Development, Economic Development
Caspari-Sadeghi, Sima – Journal of Educational Technology Systems, 2023
Intelligent assessment, the core of any AI-based educational technology, is defined as embedded, stealth and ubiquitous assessment which uses intelligent techniques to diagnose the current cognitive level, monitor dynamic progress, predict success and update students' profiling continuously. It also uses various technologies, such as learning…
Descriptors: Artificial Intelligence, Educational Technology, Computer Assisted Testing, Barriers
Allaa Barefah – Journal of Education for Business, 2024
Businesses use data to enhance operational performance, creating demand for professionally trained data/business analytics graduates. Universities offer a variety of academic programs in response to the increasing labor market demands. Yet, research on how well educational offerings adapt to market demand is scant. This paper aims to evaluate how…
Descriptors: Foreign Countries, Labor Market, Web Sites, College Programs
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
Adeola Monty – Australian Council for Educational Research, 2024
This policy brief has been prepared by the Australian Council for Educational Research (ACER) for the UNESCO International Institute for Educational Planning (IIEP) Regional Conference, held in Manila from 5 to 7 November 2024. This brief is in response to the conference sub-theme of, 'Learning, equity and well-being: foundational literacy,…
Descriptors: Literacy, Numeracy, Data Use, Educational Assessment
