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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
Wang, Hei-Chia; Maslim, Martinus; Kan, Chia-Hao – Education and Information Technologies, 2023
Distance learning frees the learning process from spatial constraints. Each mode of distance learning, including synchronous and asynchronous learning, has disadvantages. In synchronous learning, students have network bandwidth and noise concerns, but in asynchronous learning, they have fewer opportunities for engagement, such as asking questions.…
Descriptors: Automation, Artificial Intelligence, Computer Assisted Testing, Asynchronous Communication
Uto, Masaki; Aomi, Itsuki; Tsutsumi, Emiko; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2023
In automated essay scoring (AES), essays are automatically graded without human raters. Many AES models based on various manually designed features or various architectures of deep neural networks (DNNs) have been proposed over the past few decades. Each AES model has unique advantages and characteristics. Therefore, rather than using a single-AES…
Descriptors: Prediction, Scores, Computer Assisted Testing, Scoring
Han, Suhwa; Kang, Hyeon-Ah – Journal of Educational Measurement, 2023
The study presents multivariate sequential monitoring procedures for examining test-taking behaviors online. The procedures monitor examinee's responses and response times and signal aberrancy as soon as significant change is identifieddetected in the test-taking behavior. The study in particular proposes three schemes to track different…
Descriptors: Test Wiseness, Student Behavior, Item Response Theory, Computer Assisted Testing
Indiana Department of Education, 2024
The Indiana Department of Education's (IDOE's) Accessibility and Accommodations Information for Statewide Assessments is intended for school-level personnel and decision-making teams as they prepare for and implement Indiana statewide assessments. Information is provided for school personnel as a reference to inform guidance on universal features,…
Descriptors: Standardized Tests, Testing Accommodations, Computer Assisted Testing, Students with Disabilities
Rajab Esfandiari; Mohammad Hossein Arefian – Education and Information Technologies, 2024
Computer-assisted language assessment literacy (LAL) has gained momentum in English as a foreign language (EFL) teaching since computer-based education became particularly common in language education. As EFL teachers play a critical role in administering computer-assisted language assessments, Iranian EFL teachers need to learn, relearn, and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
David Eubanks; Scott A. Moore – Assessment Update, 2025
Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…
Descriptors: Higher Education, Educational Assessment, Data Science, Research Methodology
Julian Marvin Jörs; Ernesto William De Luca – Technology, Knowledge and Learning, 2025
The real-time availability of information and the intelligence of information systems have changed the way we deal with information. Current research is primarily concerned with the interplay between internal and external memory, i.e., how much and which forms of cognitively demanding processes we handle internally and when we use external storage…
Descriptors: Ethics, Learning Processes, Technology Uses in Education, Influence of Technology
Priya Harindranathan; James Folkestad; Jemshid K. – Journal of Educational Technology, 2025
Due to the use of online learning platforms and learning management systems, students are now working unsupervised on quiz-taking platforms. These unsupervised online forms of assessment are replacing traditional supervised quizzes in conventional classrooms. It is unclear whether the quiz-taking behaviors of students in these settings align with…
Descriptors: Undergraduate Students, Microbiology, Science Education, Computer Assisted Testing
Sarah N. Shakir; Ashley M. Virabouth; Mallory M. Rice – American Biology Teacher, 2025
Exam anxiety has been well-documented to reduce student performance in undergraduate biology courses, especially for students from marginalized groups, which can contribute to achievement gaps. Our exploratory study surveyed 61 undergraduate biology students to better understand how exams affect their anxiety levels, focusing on the impact of exam…
Descriptors: Undergraduate Students, College Science, Biology, Student Attitudes
He, Wei – NWEA, 2022
To ensure that student academic growth in a subject area is accurately captured, it is imperative that the underlying scale remains stable over time. As item parameter stability constitutes one of the factors that affects scale stability, NWEA® periodically conducts studies to check for the stability of the item parameter estimates for MAP®…
Descriptors: Achievement Tests, Test Items, Test Reliability, Academic Achievement
Petrilli, Michael J. – Education Next, 2022
In the late 1960s, when federal officials and eminent psychologists were first designing the National Assessment of Educational Progress (NAEP), they probably never contemplated testing students younger than nine. The technology for mass testing at the time--bubble sheets and No. 2 pencils--only worked if students could read the instructions and…
Descriptors: Kindergarten, Student Evaluation, National Competency Tests, Computer Assisted Testing
Noorbehbahani, Fakhroddin; Mohammadi, Azadeh; Aminazadeh, Mohammad – Education and Information Technologies, 2022
In recent years, online learning has received more attention than ever before. One of the most challenging aspects of online education is the students' assessment since academic integrity could be violated due to various cheating behaviors in online examinations. Although a considerable number of literature reviews exist about online learning,…
Descriptors: Cheating, Computer Assisted Testing, Electronic Learning, Educational Trends
Doble, Christopher; Matayoshi, Jeffrey; Cosyn, Eric; Uzun, Hasan; Karami, Arash – International Journal of Artificial Intelligence in Education, 2019
A large-scale simulation study of the assessment effectiveness of a particular instantiation of knowledge space theory is described. In this study, data from more than 700,000 actual assessments in mathematics using the ALEKS (Assessment and LEarning in Knowledge Spaces) software were used to determine response probabilities for the same number of…
Descriptors: Test Reliability, Adaptive Testing, Mathematics Tests, Computer Assisted Testing
New York State Education Department, 2021
The instructions in this manual explain the responsibilities of school administrators for the New York State Testing Program (NYSTP) Grades 3-8 English Language Arts and Mathematics Tests. School administrators must be thoroughly familiar with the contents of the manual, and the policies and procedures must be followed as written so that testing…
Descriptors: Testing Programs, Mathematics Tests, Test Format, Computer Assisted Testing

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