Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 8 |
Descriptor
Computer Assisted Testing | 11 |
Probability | 11 |
Problem Solving | 3 |
Student Evaluation | 3 |
Accuracy | 2 |
Adaptive Testing | 2 |
Classification | 2 |
Comparative Analysis | 2 |
Feedback (Response) | 2 |
Guessing (Tests) | 2 |
Higher Education | 2 |
More ▼ |
Source
Author
Anderson, Richard Ivan | 1 |
Baker, Eva L. | 1 |
Coots, Madison | 1 |
Davidson-Shivers, Gayle V. | 1 |
Frick, Theodore W. | 1 |
Goodman, Noah | 1 |
He, Lei | 1 |
Huang, Jingshan | 1 |
Huang, Sheng-Yun | 1 |
Malik, Ali | 1 |
Mitchell, John | 1 |
More ▼ |
Publication Type
Reports - Descriptive | 11 |
Journal Articles | 8 |
Guides - General | 1 |
Guides - Non-Classroom | 1 |
Reports - Research | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Secondary Education | 2 |
Grade 1 | 1 |
Grade 10 | 1 |
Grade 11 | 1 |
Grade 12 | 1 |
Grade 2 | 1 |
Grade 3 | 1 |
Grade 4 | 1 |
Grade 5 | 1 |
Grade 6 | 1 |
Grade 7 | 1 |
More ▼ |
Audience
Parents | 1 |
Location
Sweden | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Malik, Ali; Wu, Mike; Vasavada, Vrinda; Song, Jinpeng; Coots, Madison; Mitchell, John; Goodman, Noah; Piech, Chris – International Educational Data Mining Society, 2021
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like programming, graphics, and short response questions. This problem has proven to be exceptionally difficult: for humans, it requires large amounts of manual work, and for computers, until…
Descriptors: Grading, Accuracy, Computer Assisted Testing, Automation
Sinharay, Sandip – Educational and Psychological Measurement, 2022
Administrative problems such as computer malfunction and power outage occasionally lead to missing item scores and hence to incomplete data on mastery tests such as the AP and U.S. Medical Licensing examinations. Investigators are often interested in estimating the probabilities of passing of the examinees with incomplete data on mastery tests.…
Descriptors: Mastery Tests, Computer Assisted Testing, Probability, Test Wiseness
Zetterqvist, Lena – Teaching Mathematics and Its Applications, 2017
Researchers and teachers often recommend motivating exercises and use of mathematics or statistics software for the teaching of basic courses in probability and statistics. Our courses are given to large groups of engineering students at Lund Institute of Technology. We found that the mere existence of real-life data and technology in a course…
Descriptors: Technology Uses in Education, Alignment (Education), Probability, Statistics
Northwest Evaluation Association, 2016
This guide was created as a resource to help families better understand "Measures of Academic Progress"® (MAP®), and their child's results. The guide provides answers to a variety of questions such as: "What is MAP?"; "What does MAP measure?"; "How do schools and teachers use MAP scores?"; "Can MAP tell…
Descriptors: Scores, Academic Achievement, Achievement Tests, Reading Achievement
Wang, Wen-Chung; Huang, Sheng-Yun – Educational and Psychological Measurement, 2011
The one-parameter logistic model with ability-based guessing (1PL-AG) has been recently developed to account for effect of ability on guessing behavior in multiple-choice items. In this study, the authors developed algorithms for computerized classification testing under the 1PL-AG and conducted a series of simulations to evaluate their…
Descriptors: Computer Assisted Testing, Classification, Item Analysis, Probability
Huang, Jingshan; He, Lei; Davidson-Shivers, Gayle V. – Online Submission, 2011
Effective assessment is vital in educational activities. We propose IWAS (intelligent Web-based assessment system), an intelligent, generalized and real-time system to assess both learning and teaching. IWAS provides a foundation for more efficiency in instructional activities and, ultimately, students' performances. Our contributions are…
Descriptors: Student Evaluation, Educational Assessment, Probability, Internet
Baker, Eva L. – Educational Assessment, 2007
This article describes the history, evidence warrants, and evolution of the Center for Research on Evaluation, Standards, and Student Testing's (CRESST) model-based assessments. It considers alternative interpretations of scientific or practical models and illustrates how model-based assessment addresses both definitions. The components of the…
Descriptors: Educational Testing, Computer Assisted Testing, Validity, Test Construction
Ritter, Lois A., Ed.; Sue, Valerie M., Ed. – New Directions for Evaluation, 2007
This chapter provides an overview of sampling methods that are appropriate for conducting online surveys. The authors review some of the basic concepts relevant to online survey sampling, present some probability and nonprobability techniques for selecting a sample, and briefly discuss sample size determination and nonresponse bias. Although some…
Descriptors: Sampling, Probability, Evaluation Methods, Computer Assisted Testing
Anderson, Richard Ivan – 1980
Features of a probabilistic testing system that has been implemented on the "cerl" PLATO computer system are described. The key feature of the system is the manner in which an examinee responds to each test item; the examinee distributes probabilities among the alternatives of each item by positioning a small square on or within an…
Descriptors: Computer Assisted Testing, Data Collection, Feedback, Probability
Rippey, Robert M.; Voytovich, Anthony E. – Journal of Computer-Based Instruction, 1983
Describes a computer-based method of confidence-testing, available in batch processing and interactive form, which improves a student's ability to assess probabilities during clinical diagnosis. The methods and results of three experiments are presented. (EAO)
Descriptors: Clinical Diagnosis, Computer Assisted Testing, Confidence Testing, Decision Making

Frick, Theodore W. – Journal of Educational Computing Research, 1992
Discussion of expert systems and computerized adaptive tests describes two versions of EXSPRT, a new approach that combines uncertain inference in expert systems with sequential probability ratio test (SPRT) stopping rules. Results of two studies comparing EXSPRT to adaptive mastery testing based on item response theory and SPRT approaches are…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Expert Systems