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Xin Wei – Grantee Submission, 2025
This study investigates the time-use patterns of students with learning disabilities during digital mathematics assessments and explores the role of extended time accommodations (ETA) in shaping these patterns. Using latent profile analysis, four distinct time-use profiles were identified separately for students with and without ETA. "Initial…
Descriptors: Computer Assisted Testing, Mathematics Tests, Students with Disabilities, Testing Accommodations
Steven L. Wise; Megan R. Kuhfeld; Marlit Annalena Lindner – Applied Measurement in Education, 2024
When student achievement is assessed, we seek to elicit a student's maximum performance -- a goal requiring the assumption that the student is fully engaged. Otherwise, to the extent that disengagement occurs, test performance is likely to suffer. Effectively managing test-taking disengagement requires an understanding of the testing conditions…
Descriptors: Testing, Attention Span, Learner Engagement, Time Factors (Learning)
Nagy, Gabriel; Ulitzsch, Esther; Lindner, Marlit Annalena – Journal of Computer Assisted Learning, 2023
Background: Item response times in computerized assessments are frequently used to identify rapid guessing behaviour as a manifestation of response disengagement. However, non-rapid responses (i.e., with longer response times) are not necessarily engaged, which means that response-time-based procedures could overlook disengaged responses.…
Descriptors: Guessing (Tests), Academic Persistence, Learner Engagement, Computer Assisted Testing
Aaron McVay – ProQuest LLC, 2021
As assessments move towards computerized testing and making continuous testing available the need for rapid assembly of forms is increasing. The objective of this study was to investigate variability in assembled forms through the lens of first- and second-order equity properties of equating, by examining three factors and their interactions. Two…
Descriptors: Automation, Computer Assisted Testing, Test Items, Reaction Time
Niimi, Noriyasu; Matsuura, Nobukazu – Language Testing in Asia, 2022
Introduction: This paper describes the exploratory case and initial evaluation of the computer-based testing (CBT) prototype. The advantage of CBT over paper-based testing (PBT) is that it allows us to control the order of questions and provides test takers with continuous tasks capturing their thought processes. Additionally, their response…
Descriptors: Foreign Countries, Junior High School Students, Computer Assisted Testing, Reaction Time
Congning Ni; Bhashithe Abeysinghe; Juanita Hicks – International Electronic Journal of Elementary Education, 2025
The National Assessment of Educational Progress (NAEP), often referred to as The Nation's Report Card, offers a window into the state of U.S. K-12 education system. Since 2017, NAEP has transitioned to digital assessments, opening new research opportunities that were previously impossible. Process data tracks students' interactions with the…
Descriptors: Reaction Time, Multiple Choice Tests, Behavior Change, National Competency Tests
Wolf, Mikyung Kim; Yoo, Hanwook; Guzman-Orth, Danielle; Abedi, Jamal – Educational Assessment, 2022
Implementing a randomized controlled trial design, the present study investigated the effects of two types of accommodations, linguistic modification and a glossary, for English learners (ELs) taking a computer-based mathematics assessment. Process data including response time and clicks on glossary words were also examined to better interpret…
Descriptors: Testing Accommodations, English Language Learners, Computer Assisted Testing, Mathematics Tests
Song, Yi; Zhu, Mengxiao; Sparks, Jesse R. – Journal of Educational Computing Research, 2023
In this research, we use a process data analysis approach to gather additional evidence about students' argumentation skills beyond their performance scores in a computer-based assessment. This game-enhanced scenario-based assessment (named Seaball) included five activities that require students to demonstrate their argumentation skills within a…
Descriptors: Data Analysis, Academic Achievement, Interaction, Performance
Soland, James; Kuhfeld, Megan; Rios, Joseph – Large-scale Assessments in Education, 2021
Low examinee effort is a major threat to valid uses of many test scores. Fortunately, several methods have been developed to detect noneffortful item responses, most of which use response times. To accurately identify noneffortful responses, one must set response time thresholds separating those responses from effortful ones. While other studies…
Descriptors: Reaction Time, Measurement, Response Style (Tests), Reading Tests
Joanna Tomkowicz; Andy Porter; Corey Palermo – Journal of Applied Testing Technology, 2024
Little evidence exists regarding students' actual use of testing time in naturalistic settings, particularly in the context of state accountability assessments. This study investigates students' test completion time and performance in the context of a statewide, English Language Arts and Mathematics computer-based assessment administered in grades…
Descriptors: Time, Computer Assisted Testing, Achievement Tests, Mathematics Tests
Ponce, Héctor R.; Mayer, Richard E.; Sitthiworachart, Jirarat; López, Mario J. – Educational Technology Research and Development, 2020
The transition from paper-based tests to corresponding computer-administered tests allows for the incorporation of improved interfaces that support response making. The main research question is whether innovative interfaces affect test response time and/or response accuracy. This study compared performance on banked cloze tests using a…
Descriptors: Cloze Procedure, Eye Movements, Reaction Time, Accuracy
Levin, Nathan A. – Journal of Educational Data Mining, 2021
The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…
Descriptors: Learning Analytics, Data Collection, Competition, Prediction
Ponce, Héctor R.; Mayer, Richard E.; Loyola, María Soledad – Journal of Educational Computing Research, 2021
One of the most common technology-enhanced items used in large-scale K-12 testing programs is the drag-and-drop response interaction. The main research questions in this study are: (a) Does adding a drag-and-drop interface to an online test affect the accuracy of student performance? (b) Does adding a drag-and-drop interface to an online test…
Descriptors: Computer Assisted Testing, Test Construction, Standardized Tests, Elementary School Students
Kuhfeld, Megan; Soland, James – Journal of Research on Educational Effectiveness, 2020
Educational stakeholders have long known that students might not be fully engaged when taking an achievement test and that such disengagement could undermine the inferences drawn from observed scores. Thanks to the growing prevalence of computer-based tests and the new forms of metadata they produce, researchers have developed and validated…
Descriptors: Metadata, Computer Assisted Testing, Achievement Tests, Reaction Time
Juškaite, Loreta – International Baltic Symposium on Science and Technology Education, 2019
The new research results on the online- testing method in the Latvian education system for a learning process assessment are presented. Data mining is a very important field in education because it helps to analyse the data gathered in various researches and to implement the changes in the education system according to the learning methods of…
Descriptors: Foreign Countries, Information Retrieval, Data Analysis, Data Use
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