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Botelho, Anthony; Baral, Sami; Erickson, John A.; Benachamardi, Priyanka; Heffernan, Neil T. – Journal of Computer Assisted Learning, 2023
Background: Teachers often rely on the use of open-ended questions to assess students' conceptual understanding of assigned content. Particularly in the context of mathematics; teachers use these types of questions to gain insight into the processes and strategies adopted by students in solving mathematical problems beyond what is possible through…
Descriptors: Natural Language Processing, Artificial Intelligence, Computer Assisted Testing, Mathematics Tests
Jude Edeigba; Solomon Opare; Fawzi Laswad – Accounting Education, 2025
Given the debate in tertiary institutions on the use of technology for assessments due to the coronavirus (COVID-19) pandemic, we compare the performance of accounting students in proctored paper-based and online exams. We examine exam scores across different demographic variables to provide early insights into the impact of these demographics on…
Descriptors: Accounting, Business Education, Academic Achievement, Computer Assisted Testing
Mi-Hyun Bang; Young-Min Lee – Education and Information Technologies, 2024
The Human Resources Development Service of Korea developed a digital exam for five representative engineering categories and conducted a pilot study comparing the findings with the paper-and-pencil exam results from the last three years. This study aimed to compare the test efficiency between digital and paper-and-pencil examinations. A digital…
Descriptors: Engineering Education, Computer Assisted Testing, Foreign Countries, Human Resources
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
Pengelley, James; Whipp, Peter R.; Rovis-Hermann, Nina – Educational Psychology Review, 2023
The aim of the present study is to reconcile previous findings (a) that testing mode has no effect on test outcomes or cognitive load (Comput Hum Behav 77:1-10, 2017) and (b) that younger learners' working memory processes are more sensitive to computer-based test formats (J Psychoeduc Assess 37(3):382-394, 2019). We addressed key methodological…
Descriptors: Scores, Cognitive Processes, Difficulty Level, Secondary School Students
Chan, Cecilia Ka Yuk – Assessment & Evaluation in Higher Education, 2023
With the advances of technologies, possessing digital and information literacy is crucial for the selection of candidates by employers in this digital AI era. For most students, receiving and outputting electronic text has become the norm, and thus examinations with writing components done by hand may not accurately reflect their abilities. It…
Descriptors: Test Format, Handwriting, Stakeholders, Feedback (Response)
Jang, Jung Un; Kim, Eun Joo – Journal of Curriculum and Teaching, 2022
This study conducts the validity of the pen-and-paper and smart-device-based tests on optician's examination. The developed questions for each media were based on the national optician's simulation test. The subjects of this study were 60 students enrolled in E University. The data analysis was performed to verify the equivalence of the two…
Descriptors: Optometry, Licensing Examinations (Professions), Test Format, Test Validity
Anna Caroline Keefe – ProQuest LLC, 2022
Computer-assisted assessment continues to be incorporated into more and more mathematics courses. As this method of testing is used, questions are created to use through computer-assisted assessment. This study analyzed two types of questions used on computer-assisted assessment in Calculus I, II, and III courses. The first question type was…
Descriptors: Psychometrics, Computer Assisted Testing, Technology Integration, Calculus
Wei Wang – Education and Information Technologies, 2024
As information and communication technologies develop in China, language tests are shifting from conventional paper-and-pencil testing to computerized testing. The aim of this study is to investigate Chinese test-takers' adaptability to computerized language exams, including their performance across testing modes and their perception of the…
Descriptors: Computer Assisted Testing, Language Tests, Second Language Learning, Second Language Instruction
Mimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory
Shahid A. Choudhry; Timothy J. Muckle; Christopher J. Gill; Rajat Chadha; Magnus Urosev; Matt Ferris; John C. Preston – Practical Assessment, Research & Evaluation, 2024
The National Board of Certification and Recertification for Nurse Anesthetists (NBCRNA) conducted a one-year research study comparing performance on the traditional continued professional certification assessment, administered at a test center or online with remote proctoring, to a longitudinal assessment that required answering quarterly…
Descriptors: Nurses, Certification, Licensing Examinations (Professions), Computer Assisted Testing
Abdullah Albalawi – Vocabulary Learning and Instruction, 2024
Despite the substantial expansion in vocabulary research since the 1980s, we still know very little about how vocabulary develops over time and what factors influence this development. This methodological overview discusses key issues and considerations in vocabulary breadth growth assessment to help advance research in this area. The report…
Descriptors: Vocabulary Development, Teaching Methods, Language Tests, Test Use
Araneda, Sergio; Lee, Dukjae; Lewis, Jennifer; Sireci, Stephen G.; Moon, Jung Aa; Lehman, Blair; Arslan, Burcu; Keehner, Madeleine – Education Sciences, 2022
Students exhibit many behaviors when responding to items on a computer-based test, but only some of these behaviors are relevant to estimating their proficiencies. In this study, we analyzed data from computer-based math achievement tests administered to elementary school students in grades 3 (ages 8-9) and 4 (ages 9-10). We investigated students'…
Descriptors: Student Behavior, Academic Achievement, Computer Assisted Testing, Mathematics Achievement
Betts, Joe; Muntean, William; Kim, Doyoung; Kao, Shu-chuan – Educational and Psychological Measurement, 2022
The multiple response structure can underlie several different technology-enhanced item types. With the increased use of computer-based testing, multiple response items are becoming more common. This response type holds the potential for being scored polytomously for partial credit. However, there are several possible methods for computing raw…
Descriptors: Scoring, Test Items, Test Format, Raw Scores
Steedle, Jeffrey T.; Cho, Young Woo; Wang, Shichao; Arthur, Ann M.; Li, Dongmei – Educational Measurement: Issues and Practice, 2022
As testing programs transition from paper to online testing, they must study mode comparability to support the exchangeability of scores from different testing modes. To that end, a series of three mode comparability studies was conducted during the 2019-2020 academic year with examinees randomly assigned to take the ACT college admissions exam on…
Descriptors: College Entrance Examinations, Computer Assisted Testing, Scores, Test Format

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