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Cheng, Ying; Shao, Can – Educational and Psychological Measurement, 2022
Computer-based and web-based testing have become increasingly popular in recent years. Their popularity has dramatically expanded the availability of response time data. Compared to the conventional item response data that are often dichotomous or polytomous, response time has the advantage of being continuous and can be collected in an…
Descriptors: Reaction Time, Test Wiseness, Computer Assisted Testing, Simulation
Spino, LeAnne L.; Echevarría, Megan M.; Wu, Yu – Foreign Language Annals, 2022
The ACTFL Oral Proficiency Interview--computer (OPIc) employs a self-assessment instrument to determine the nature of the speaking prompts to which the test taker will respond and, thus the difficulty of the test. Grounded in research demonstrating varying levels of accuracy in self-assessment among language learners, this study examines the…
Descriptors: Computer Assisted Testing, Oral Language, Language Proficiency, Self Evaluation (Individuals)
Parte, Laura; Mellado, Lucía – Online Learning, 2022
This study sheds light on the relation between assessment modalities and student behavior through linguistics styles, and academic performance. First, we examine the effect of assessment modalities (self-evaluation quizzes and summative quizzes) on academic performance. Using two modalities of online quizzes, we mainly focus on the student…
Descriptors: Academic Achievement, Distance Education, Tests, Student Attitudes
Emerson, David J.; Smith, Kenneth J. – Accounting Education, 2022
The recent pandemic necessitated a migration to online instruction leading to concerns regarding the integrity of online assessments as a result of the presence of fee-based websites that disseminate answers to students. We validated this concern by evaluating student performance on an online quiz where some of the questions had easily searchable…
Descriptors: Homework, Web Sites, Educational Technology, Cheating
Erdem-Kara, Basak; Dogan, Nuri – International Journal of Assessment Tools in Education, 2022
Recently, adaptive test approaches have become a viable alternative to traditional fixed-item tests. The main advantage of adaptive tests is that they reach desired measurement precision with fewer items. However, fewer items mean that each item has a more significant effect on ability estimation and therefore those tests are open to more…
Descriptors: Item Analysis, Computer Assisted Testing, Test Items, Test Construction
Sahin Kursad, Merve; Cokluk Bokeoglu, Omay; Cikrikci, Rahime Nukhet – International Journal of Assessment Tools in Education, 2022
Item parameter drift (IPD) is the systematic differentiation of parameter values of items over time due to various reasons. If it occurs in computer adaptive tests (CAT), it causes errors in the estimation of item and ability parameters. Identification of the underlying conditions of this situation in CAT is important for estimating item and…
Descriptors: Item Analysis, Computer Assisted Testing, Test Items, Error of Measurement
A. Corinne Huggins-Manley; Brandon M. Booth; Sidney K. D'Mello – Grantee Submission, 2022
The field of educational measurement places validity and fairness as central concepts of assessment quality (AERA, APA, NCME, 2014). Prior research has proposed embedding fairness arguments within argument-based validity processes, particularly when fairness is conceived as comparability in assessment properties across groups (Chapelle, 2021; Xi,…
Descriptors: Educational Assessment, Persuasive Discourse, Validity, Artificial Intelligence
Ben Seipel; Patrick C. Kennedy; Sarah E. Carlson; Virginia Clinton-Lisell; Mark L. Davison – Grantee Submission, 2022
As access to higher education increases, it is important to monitor students with special needs to facilitate the provision of appropriate resources and support. Although metrics such as ACT's (formerly American College Testing) "reading readiness" provide insight into how many students may need such resources, they do not specify…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Reading Tests, Reading Comprehension
A. Corinne Huggins-Manley; Brandon M. Booth; Sidney K. D'Mello – Journal of Educational Measurement, 2022
The field of educational measurement places validity and fairness as central concepts of assessment quality. Prior research has proposed embedding fairness arguments within argument-based validity processes, particularly when fairness is conceived as comparability in assessment properties across groups. However, we argue that a more flexible…
Descriptors: Educational Assessment, Persuasive Discourse, Validity, Artificial Intelligence
Carol Eckerly; Yue Jia; Paul Jewsbury – ETS Research Report Series, 2022
Testing programs have explored the use of technology-enhanced items alongside traditional item types (e.g., multiple-choice and constructed-response items) as measurement evidence of latent constructs modeled with item response theory (IRT). In this report, we discuss considerations in applying IRT models to a particular type of adaptive testlet…
Descriptors: Computer Assisted Testing, Test Items, Item Response Theory, Scoring
Leiah J. Groom-Thomas; Monica G. Lee; Cate Smith Todd; Kathleen Lynch; Susanna Loeb; Scott R. McConnell; Lydia J. Carlis – Annenberg Institute for School Reform at Brown University, 2022
Many preschool agencies nationwide continue to experience closures and/or conversions to virtual or hybrid instruction due to the ongoing COVID-19 pandemic. Despite the importance of understanding young children's learning and development during the COVID emergency, limited knowledge exists on adaptable practices of assessing young children during…
Descriptors: COVID-19, Pandemics, Federal Programs, Low Income Students
Sun, Bo; Zhu, Yunzong; Yao, Zeng; Xiao, Rong; Xiao, Yongkang; Wei, Yungang – IEEE Transactions on Learning Technologies, 2020
Reading comprehension tasks are commonly used for developing students' reading ability. In order to adaptively recommend reading comprehension materials to students engaged in computerized testing, the information in an item bank (a collection of test items stored in a dataset) must be effectively indexed. Familiarity with the topics present in…
Descriptors: Automation, Indexing, Item Banks, Classification
Kirsch, Irwin; Braun, Henry – Large-scale Assessments in Education, 2020
Mounting concerns about the levels and distributions of human capital, as well as how they are associated with outcomes for individuals and societies, have contributed to an increase in the number of national and international surveys. These surveys not only examine skills among school-age and adult populations, they also facilitate evaluation of…
Descriptors: International Assessment, Computer Assisted Testing, Human Capital, Program Evaluation
Muuli, Eerik; Tõnisson, Eno; Lepp, Marina; Luik, Piret; Palts, Tauno; Suviste, Reelika; Papli, Kaspar; Säde, Merilin – Education and Information Technologies, 2020
There are thousands of participants in different programming MOOCs (Massive Open Online Courses) which means thousands of solutions have to be assessed. As it is very time-consuming to assess that amount of solutions manually, using automated assessment is essential. Since task requirements must be strict for the solutions to be automatically…
Descriptors: Online Courses, Programming, Computer Assisted Testing, Visual Stimuli
Tikhomirova, Tatiana; Malykh, Artem; Lysenkova, Irina; Kuzmina, Yulia; Malykh, Sergey – British Journal of Educational Psychology, 2023
Background: Number line accuracy (NL accuracy) shows improvement over the course of a school education. However, there are practically no cross-country longitudinal studies of NL accuracy over the whole course of elementary school. Aims: This study investigated the developmental trajectories of NL accuracy and its types across the elementary…
Descriptors: Number Concepts, Accuracy, Elementary School Mathematics, Elementary School Students