Publication Date
In 2025 | 5 |
Since 2024 | 12 |
Since 2021 (last 5 years) | 36 |
Since 2016 (last 10 years) | 58 |
Since 2006 (last 20 years) | 70 |
Descriptor
Computer Assisted Testing | 70 |
Mathematics Tests | 70 |
Middle School Students | 29 |
Grade 8 | 26 |
Elementary School Students | 25 |
Grade 5 | 22 |
Grade 3 | 18 |
Grade 4 | 18 |
Grade 6 | 17 |
Testing Accommodations | 16 |
Grade 7 | 15 |
More ▼ |
Source
Author
Van Norman, Ethan R. | 4 |
Abedi, Jamal | 2 |
Alonzo, Julie | 2 |
Anderson, Daniel | 2 |
Botelho, Anthony | 2 |
Chan, Jenny Yun-Chen | 2 |
Guzman-Orth, Danielle | 2 |
Lee, Ji-Eun | 2 |
Ottmar, Erin | 2 |
Tindal, Gerald | 2 |
Xin Wei | 2 |
More ▼ |
Publication Type
Education Level
Middle Schools | 70 |
Elementary Education | 58 |
Junior High Schools | 55 |
Secondary Education | 53 |
Grade 8 | 32 |
Intermediate Grades | 32 |
Grade 5 | 26 |
Grade 4 | 22 |
Grade 3 | 21 |
Grade 6 | 21 |
Grade 7 | 20 |
More ▼ |
Audience
Administrators | 7 |
Teachers | 2 |
Location
New York | 9 |
Maryland | 3 |
Massachusetts | 3 |
Nebraska | 3 |
California | 2 |
Colorado | 2 |
Illinois | 2 |
Indiana | 2 |
Minnesota | 2 |
New Jersey | 2 |
Pennsylvania | 2 |
More ▼ |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Alice Lemmo – International Journal of Mathematical Education in Science and Technology, 2025
The use of digital technologies in teaching and learning processes has opened new and wide frontiers in mathematics education. Research in education moves towards teaching and learning (and assessing) twenty-first-century skills and computer-based testing seems an interesting possibility for assessing such skills. From this perspective, comparing…
Descriptors: Computer Assisted Testing, Paper and Pencil Tests, Problem Solving, Mathematics Tests
Jennifer Nicole Chartney – ProQuest LLC, 2024
The purpose of this qualitative research study is to understand the process used for teacher-created online math assessments and the effect that online math assessments have on student engagement. Data for this qualitative study was collected and analyzed using Braun and Clarke's (2006) thematic analysis which uses key conceptual foundations in a…
Descriptors: Computer Assisted Testing, Mathematics Tests, Student Evaluation, Educational Technology
Sami Baral; Eamon Worden; Wen-Chiang Lim; Zhuang Luo; Christopher Santorelli; Ashish Gurung; Neil Heffernan – Grantee Submission, 2024
The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…
Descriptors: Automation, Scoring, Computer Assisted Testing, Natural Language Processing
Iwan A. J. Sianturi; Zaleha Ismail; Der-Ching Yang – Mathematics Education Research Journal, 2024
This study examines the conceptual understanding of numbers and operations among 372 fifth-grade students, based on their responses to an online three-tier test designed to assess their number sense, declarative knowledge, explanatory knowledge, and confidence. The results showed that most students had low performance and low number sense, with…
Descriptors: Numbers, Arithmetic, Mathematical Concepts, Concept Formation
Tugba Uygun; Pinar Guner; Irfan Simsek – International Journal of Mathematical Education in Science and Technology, 2024
This study was conducted to reveal potential sources of students' difficulty and misconceptions about geometrical concepts with the help of eye tracking. In this study, the students' geometrical misconceptions were explored by answering the questions on the geometry test prepared based on the literature and test-taking processes and represented…
Descriptors: Eye Movements, Geometric Concepts, Mathematics Instruction, Misconceptions
Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Simon Woodhead – Journal of Learning Analytics, 2025
Knowledge tracing (KT) is a method to evaluate a student's knowledge state (KS) based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracing (OT) method for assessing multiple-choice questions (MCQs). This paper introduces…
Descriptors: Mathematics Tests, Multiple Choice Tests, Computer Assisted Testing, Problem Solving
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
Turner, Megan I.; Van Norman, Ethan R.; Hojnoski, Robin L. – Journal of Psychoeducational Assessment, 2022
Star Math (SM) is a popular computer adaptive test (CAT) schools use to screen students for academic risk. Despite its popularity, few independent investigations of its diagnostic accuracy have been conducted. We evaluated the diagnostic accuracy of SM based upon vendor provided cut-scores (25th and 40th percentiles nationally) in predicting…
Descriptors: Accuracy, Adaptive Testing, Computer Assisted Testing, High Stakes Tests
Endang Susantini; Yurizka Melia Sari; Prima Vidya Asteria; Muhammad Ilyas Marzuqi – Journal of Education and Learning (EduLearn), 2025
Assessing preservice' higher order thinking skills (HOTS) in science and mathematics is essential. Teachers' HOTS ability is closely related to their ability to create HOTS-type science and mathematics problems. Among various types of HOTS, one is Bloomian HOTS. To facilitate the preservice teacher to create problems in those subjects, an Android…
Descriptors: Content Validity, Mathematics Instruction, Decision Making, Thinking Skills
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
Sari, Halil Ibrahim – International Journal of Psychology and Educational Studies, 2020
Due to low cost monte-carlo (MC) simulations have been extensively conducted in the area of educational measurement. However, the results derived from MC studies may not always be generalizable to operational studies. The purpose of this study was to provide a methodological discussion on the other different types of simulation methods, and run…
Descriptors: Computer Assisted Testing, Adaptive Testing, Simulation, Test Length
Malena Manchado Porras; Inmaculada Menacho Jiménez; Jose Carlos Piñero-Charlo; María del Carmen Canto-López – European Journal of Science and Mathematics Education, 2023
Currently mathematics difficulties in schools are a major problem due to several factors. Some research suggest that mathematics teaching-learning methodology could be one of the causes. As a result, alternative teaching methods to the traditional approach (ciphers-based closed algorithm [CBC]) have emerged, such as numbers-based open algorithm…
Descriptors: Mathematics Instruction, Computation, Teaching Methods, Eye Movements
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
Van Norman, Ethan R.; Forcht, Emily R. – Assessment for Effective Intervention, 2023
This study explored the validity of growth on two computer adaptive tests, Star Reading and Star Math, in explaining performance on an end-of-year achievement test for a sample of students in Grades 3 through 6. Results from quantile regression analyses indicate that growth on Star Reading explained a statistically significant amount of variance…
Descriptors: Test Validity, Computer Assisted Testing, Adaptive Testing, Grade Prediction
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