NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20251
Since 20246
Since 2021 (last 5 years)19
Since 2016 (last 10 years)75
Since 2006 (last 20 years)198
What Works Clearinghouse Rating
Showing 1 to 15 of 198 results Save | Export
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
Peer reviewed Peer reviewed
Direct linkDirect link
Ciji 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
Marisa Mission; Juliet Squire; Paul Beach – Bellwether, 2024
This report is the third in a series that unpacks the barriers to access that families face, the variety of solutions that navigation organizations have developed, and the challenges that limit the reach and impact of those solutions. This series offers recommendations for how to help navigators address these challenges and support more families…
Descriptors: Navigation, Family Involvement, Barriers, Access to Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kathy Kremer – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Colleges and universities depend upon external approvals from accreditors, government agencies, and national organizations. These approvals require periodic review of institution-prepared reports and self-studies documenting the continued validity of offered degrees and programs, student support and success, institutional effectiveness, and…
Descriptors: Higher Education, Educational Improvement, Professional Continuing Education, Data Collection
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Venie Gupitasari; Heri Retnawati – Journal of Education and Learning (EduLearn), 2024
Assessment is an important component of learning which aims to determine student achievement in learning. However, the pandemic has changed how assessment is carried out, prompting teachers to look for new strategies in carrying out mathematics learning assessments under any conditions, whether in normal conditions or during a pandemic. This study…
Descriptors: Foreign Countries, High School Teachers, Mathematics Teachers, Student Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Thelk, Amy D.; McGraw, Jillian P.; Hanel, Joel – Assessment Update, 2023
Following a set of state meetings held throughout fall 2020, the Virginia Education Assessment Collaborative (VEAC) decided to offer a mini-conference in November 2020 to round out offerings and to buttress conversation around topics of high need and interest to Educator Preparation Providers (EPPs). Leveraging the familiar process of the…
Descriptors: Stakeholders, Conferences (Gatherings), Videoconferencing, Teacher Education Programs
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Steven Glazerman; Larissa Campuzano; Nancy Murray – Evaluation Review, 2025
Randomized experiments involving education interventions are typically implemented as cluster randomized trials, with schools serving as clusters. To design such a study, it is critical to understand the degree to which learning outcomes vary between versus within clusters (schools), specifically the intraclass correlation coefficient. It is also…
Descriptors: Educational Experiments, Foreign Countries, Educational Assessment, Research Design
Peer reviewed Peer reviewed
Direct linkDirect link
Guo, Hongwen – Educational Measurement: Issues and Practice, 2022
Many educational summative and formative assessments have been transferred to a remote online setting because of the pandemic. Educational professionals and stakeholders have shown interest in learning how this change in the test mode influenced test takers; that is, whether test-taking experiences in a remote test setting were different from…
Descriptors: Distance Education, Educational Assessment, Student Evaluation, Summative Evaluation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mohamed, Mohamed Hegazy; Abdelgaber, Sayed; Abd-Ellatif, Laila – Journal of Education and e-Learning Research, 2023
Governments and educational authorities around the world are emphasizing performance evaluation of educational systems. Opinion Mining (OM) has gained acceptance among experts in various regions, including the preparation space. The proposed model involves Two modules: the data preprocessing module and the opinion mining module. The main objective…
Descriptors: Educational Practices, Program Evaluation, Opinions, Data Collection
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Allen, Ray; Ferkel, Rick; Fisher, Kevin; Wawersik, Andrew – Journal of Physical Education, Recreation & Dance, 2022
The purpose of this paper is to present an assessment system that enables physical education programs to collect data capable of meeting their assessment. Assessment at the elementary level is a daunting task. Practitioners are charged to teach multiple objectives across all learning domains to hundreds of students in multiple grades in a limited…
Descriptors: Physical Education, Educational Assessment, Data Collection, Elementary School Teachers
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Cox, Bradley E.; Nachman, Brett Ranon – Journal of Postsecondary Education and Disability, 2020
This paper provides practical guidance for scholars and practitioners looking to develop more rigorous, comprehensive, and inclusive research that could guide proactive efforts to improve access, experiences, and outcomes for college students with disabilities. To do so, we (a) identify critical challenges affecting research and assessment related…
Descriptors: College Students, Students with Disabilities, Statistical Analysis, Student Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Lottridge, Sue; Burkhardt, Amy; Boyer, Michelle – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Sue Lottridge, Amy Burkhardt, and Dr. Michelle Boyer provide an overview of automated scoring. Automated scoring is the use of computer algorithms to score unconstrained open-ended test items by mimicking human scoring. The use of automated scoring is increasing in educational assessment programs because it allows…
Descriptors: Computer Assisted Testing, Scoring, Automation, Educational Assessment
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  14