Publication Date
In 2025 | 1 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 8 |
Since 2016 (last 10 years) | 18 |
Since 2006 (last 20 years) | 31 |
Descriptor
Source
Author
Bachofer, Karen | 3 |
Betts, Julian | 3 |
Hayes, Joseph | 3 |
Hill, Laura | 3 |
Lee, Andrew | 3 |
Zau, Andrew | 3 |
Ackerman, Matthew | 1 |
Arnold, Gerald K. | 1 |
Ballard, Laura D. | 1 |
Bigras, Marc | 1 |
Birenbaum, Menucha | 1 |
More ▼ |
Publication Type
Education Level
Higher Education | 7 |
Postsecondary Education | 7 |
Elementary Education | 6 |
Secondary Education | 5 |
Elementary Secondary Education | 3 |
Grade 4 | 2 |
Grade 5 | 2 |
Grade 8 | 2 |
Intermediate Grades | 2 |
Middle Schools | 2 |
Grade 12 | 1 |
More ▼ |
Audience
Researchers | 1 |
Location
California (Los Angeles) | 3 |
California (San Diego) | 3 |
South Korea | 3 |
Brazil | 2 |
Florida | 2 |
Israel | 2 |
Asia | 1 |
Australia | 1 |
California (Stanford) | 1 |
Canada (Montreal) | 1 |
Chile | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Florida Comprehensive… | 1 |
Program for International… | 1 |
Torrance Tests of Creative… | 1 |
What Works Clearinghouse Rating
Huan Liu – ProQuest LLC, 2024
In many large-scale testing programs, examinees are frequently categorized into different performance levels. These classifications are then used to make high-stakes decisions about examinees in contexts such as in licensure, certification, and educational assessments. Numerous approaches to estimating the consistency and accuracy of this…
Descriptors: Classification, Accuracy, Item Response Theory, Decision Making
Hyemin Yoon; HyunJin Kim; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
We have maintained the customer grade system that is being implemented to customers with excellent performance through customer segmentation for years. Currently, financial institutions that operate the customer grade system provide similar services based on the score calculation criteria, but the score calculation criteria vary from the financial…
Descriptors: Classification, Artificial Intelligence, Prediction, Decision Making
Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Wolkowitz, Amanda A. – Journal of Educational Measurement, 2021
Decision consistency (DC) is the reliability of a classification decision based on a test score. In professional credentialing, the decision is often a high-stakes pass/fail decision. The current methods for estimating DC are computationally complex. The purpose of this research is to provide a computationally and conceptually simple method for…
Descriptors: Decision Making, Reliability, Classification, Scores
Junfeng Man; Rongke Zeng; Xiangyang He; Hua Jiang – Knowledge Management & E-Learning, 2024
At present, the widespread use of online education platforms has attracted the attention of more and more people. The application of AI technology in online education platform makes multidimensional evaluation of students' ability become the trend of intelligent education in the future. Currently, most existing studies are based on traditional…
Descriptors: Cognitive Ability, Student Evaluation, Algorithms, Learning Processes
Kim, Stella Y.; Lee, Won-Chan – Journal of Educational Measurement, 2020
The current study aims to evaluate the performance of three non-IRT procedures (i.e., normal approximation, Livingston-Lewis, and compound multinomial) for estimating classification indices when the observed score distribution shows atypical patterns: (a) bimodality, (b) structural (i.e., systematic) bumpiness, or (c) structural zeros (i.e., no…
Descriptors: Classification, Accuracy, Scores, Cutting Scores
Xu, Yi; Ma, Xiaotian; Tan, Derong; Guo, Cong; Guo, Dong; Shao, Jinju – Higher Education Studies, 2019
In this paper, a quantitative system of undergraduates' creative ability is proposed through analyzing characteristics of Amabile creative theory, and the objectivity and feasibility of CAT, TTCT and AMS in creative ability quantification. The academic test scores, TTCT scores and AMS scores are used as the quantitative index of professional…
Descriptors: Classification, Undergraduate Students, Creative Thinking, Creativity Tests
Lee, Jaeyong; Lee, Gyeong-Geon; Hong, Hun-Gi – Journal of Science Education and Technology, 2023
Here, we describe the development and validation of an automatic assessment system that examines students' hand-drawn visual representations in free-response items. The data were collected from 1,028 students in the second through 11th grades in South Korea using two items from the Test About Particles in a Gas questionnaire (Novick &…
Descriptors: Freehand Drawing, Evaluation Methods, Elementary School Students, Secondary School Students
Yang, Yanyun; Xia, Yan – Educational and Psychological Measurement, 2019
When item scores are ordered categorical, categorical omega can be computed based on the parameter estimates from a factor analysis model using frequentist estimators such as diagonally weighted least squares. When the sample size is relatively small and thresholds are different across items, using diagonally weighted least squares can yield a…
Descriptors: Scores, Sample Size, Bayesian Statistics, Item Analysis
Galleli, Barbara; Teles, Noah Emanuel Brito; Freitas-Martins, Mateus Santos; Semprebon, Elder; Hourneaux Junior, Flavio – International Journal of Sustainability in Higher Education, 2022
Purpose: This study aims to analyse the insertion of Sustainability in Management undergraduate courses in Brazilian higher education institutions (HEIs). Design/methodology/approach: Through content analysis, the authors have mapped the curricular grids of the Management courses simultaneously best classified in an independent national ranking…
Descriptors: Management Development, Foreign Countries, Sustainability, Undergraduate Students
Betts, Julian; Hill, Laura; Bachofer, Karen; Hayes, Joseph; Lee, Andrew; Zau, Andrew – Grantee Submission, 2019
More than 40 percent of students in California's public schools speak a language other than English at home. In the 2016-17 school year, 21 percent of all students, or more than 1.3 million, were English Learners (ELs). When former English Learners are included, the population of "ever ELs" expands to 38 percent of all K-12 students in…
Descriptors: English Language Learners, Classification, School Districts, Outcomes of Education
Betts, Julian; Hill, Laura; Bachofer, Karen; Hayes, Joseph; Lee, Andrew; Zau, Andrew – Public Policy Institute of California, 2019
This report describes research carried out over two distinct reclassification eras between the 2002-03 and 2013-14 academic years in the Los Angeles Unified (LAUSD) and San Diego Unified School Districts (SDUSD). Using student-level data and the multiple reclassification policies, the researchers are able to discern whether reclassification takes…
Descriptors: English Language Learners, Classification, School Districts, Outcomes of Education
Earthman, Glen I. – Educational Planning, 2018
Research in the field of Education has produced a corpus of studies dealing with the specific relationship between school building condition and student achievement reporting positive results. Yet, studies have been completed reporting no significant difference in achievement scores from students in buildings in poor and good condition. The…
Descriptors: Correlation, School Buildings, Academic Achievement, Scores
Rajagopal, Prabha; Ravana, Sri Devi – Information Research: An International Electronic Journal, 2017
Introduction: The use of averaged topic-level scores can result in the loss of valuable data and can cause misinterpretation of the effectiveness of system performance. This study aims to use the scores of each document to evaluate document retrieval systems in a pairwise system evaluation. Method: The chosen evaluation metrics are document-level…
Descriptors: Information Retrieval, Documentation, Scores, Information Systems
Betts, Julian; Hill, Laura; Bachofer, Karen; Hayes, Joseph; Lee, Andrew; Zau, Andrew – Public Policy Institute of California, 2019
This document includes two technical appendices that accompany the main report, "English Learner Trajectories and Reclassification." The two appendices include: (1) Methodology; and (2) Supporting Tables and Figures. [For the full report, see ED603764.]
Descriptors: English Language Learners, Classification, School Districts, Outcomes of Education