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Ann Atwater; Mark Rush; Perihan Saygin – Education Finance and Policy, 2025
As a result of the increase in online course offerings at colleges and universities, the prevalence of online and computerized examinations has increased over the last two decades. Beyond academia, online examinations have been used to assess competence for certifications by both governments and private firms. Despite this importance, a randomized…
Descriptors: Computer Assisted Testing, College Students, Economics Education, Research Universities
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Nazlinur Göktürk; Seçil Alaca – Language Testing, 2026
In recent years, Open Science (OS) has sparked much discussion among researchers in language testing, as in other fields. While the special issue on OS in language assessment has presented perspectives from various stakeholders, including researchers, testing companies, and universities, it underrepresents the views of government institutions that…
Descriptors: Language Tests, Testing, Scientific Research, Foreign Countries
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Emily R. Forcht; Ethan R. Van Norman – Psychology in the Schools, 2024
The present study compared the diagnostic accuracy of a single computer adaptive test (CAT), Star Reading or Star Math, and a combination of the two in a gated screening framework to predict end-of-year proficiency in reading and math. Participants included 13,009 students in Grades 3-8 who had at least one fall screening score and end-of-year…
Descriptors: Computer Assisted Testing, Adaptive Testing, Diagnostic Tests, Screening Tests
Paul Oakes – ProQuest LLC, 2024
Secondary students with disabilities are given accommodations to support deficits they have in learning and/or behavior. Higher levels of test anxiety within this population are a factor often unaddressed by administrators. The physical environment in which students with disabilities take tests influences their ability to achieve maximum…
Descriptors: Alternative Assessment, Testing, Student Evaluation, Students with Disabilities
W. Christopher Brandt; Nathan Dadey; Carla Evans – National Center for the Improvement of Educational Assessment, 2024
Recent years have produced a surge in interest in improving state assessment programs. Many states are designing new assessments. Much of this innovation is aimed at addressing longstanding areas of unhappiness with typical domain-sampled, end-of-year state assessments: States want to streamline assessment activities, enhance the instructional…
Descriptors: Standardized Tests, Achievement Tests, Educational Testing, State Standards
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Stefanie A. Wind; Beyza Aksu-Dunya – Applied Measurement in Education, 2024
Careless responding is a pervasive concern in research using affective surveys. Although researchers have considered various methods for identifying careless responses, studies are limited that consider the utility of these methods in the context of computer adaptive testing (CAT) for affective scales. Using a simulation study informed by recent…
Descriptors: Response Style (Tests), Computer Assisted Testing, Adaptive Testing, Affective Measures
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Luis Felipe Dias Lopes; Fabiane Volpato Chiapinoto; Martiele Gonçalves Moreira; Nuvea Kuhn; Fillipe Grando Lopes; Luciana Davi Traverso; Deoclécio Junior Cardoso Silva; Gilnei Luiz de Moura – Journal of Education and Learning, 2024
This study aimed to validate a scale for subjectively measuring teaching competencies for innovation in higher education. The scale was developed by creating a set of items that underwent content validity through the Delphi technique and face validity. A survey was then conducted with 523 higher education professors. The resulting scale, called…
Descriptors: Foreign Countries, College Faculty, Teacher Competencies, Teacher Competency Testing
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Liu, Changyun; Zhang, Dake; Pandolpho, Max; Yi, Julia – Assessment for Effective Intervention, 2023
This study investigated the effectiveness of four Digitalized Interactive Components (DICs) designed based on cognitive principles to accommodate individual differences among students with learning difficulties in geometry during computer-based assessments. The four DICs were annotations (allowing students to make notes on the screen), pop-up…
Descriptors: High School Students, Computer Assisted Testing, Geometry, Secondary School Mathematics
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Yan Jin; Jason Fan – Language Assessment Quarterly, 2023
In language assessment, AI technology has been incorporated in task design, assessment delivery, automated scoring of performance-based tasks, score reporting, and provision of feedback. AI technology is also used for collecting and analyzing performance data in language assessment validation. Research has been conducted to investigate the…
Descriptors: Language Tests, Artificial Intelligence, Computer Assisted Testing, Test Format
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Yigiter, Mahmut Sami; Dogan, Nuri – Measurement: Interdisciplinary Research and Perspectives, 2023
In recent years, Computerized Multistage Testing (MST), with their versatile benefits, have found themselves a wide application in large scale assessments and have increased their popularity. The fact that forms can be made ready before the exam application, such as a linear test, and that they can be adapted according to the test taker's ability…
Descriptors: Programming Languages, Monte Carlo Methods, Computer Assisted Testing, Test Format
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Lim, Hwanggyu; Choe, Edison M. – Journal of Educational Measurement, 2023
The residual differential item functioning (RDIF) detection framework was developed recently under a linear testing context. To explore the potential application of this framework to computerized adaptive testing (CAT), the present study investigated the utility of the RDIF[subscript R] statistic both as an index for detecting uniform DIF of…
Descriptors: Test Items, Computer Assisted Testing, Item Response Theory, Adaptive Testing
Samira Syal; Marcia Davis; Xiaodong Zhang; Jason Schoeneberger; Samantha Spinney; Douglas J. Mac Iver; Martha Mac Iver – Grantee Submission, 2023
Motivation to read is crucial to improving reading skill. While there is extensive research examining reading motivation among elementary students, with respect to adolescents, research is limited. Employing a person-centered approach can aid in developing a better understanding of adolescent reading motivation and would help address possible…
Descriptors: Reading Motivation, Adolescents, Reading Achievement, High School Students
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Brittland K. DeKorver; Mitchell Krahulik; Deborah G. Herrington – Journal of Chemical Education, 2023
The COVID-19 pandemic confronted chemistry instructors worldwide with many new challenges as they were quickly required to make the shift to remote instruction. One of these challenges was administering assessments in an online format. This was the topic of many discussions in the online support group Strategies for Teaching Chemistry (SFTC). This…
Descriptors: Chemistry, Science Teachers, Teacher Attitudes, COVID-19
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Reddy, Leelakrishna; Letswalo, Machaba Leanyatsa; Sefage, Amanda Percy; Kheswa, Bonginkosi Vincent; Balakrishna, Avula; Changundega, Jesman Moreblessing; Mvelase, Mashinga Johannes; Kheswa, Khayelihle Allen; Majola, Siyabonga Ntokozo Thandoluhle; Mathe, Themba; Seakamela, Teffo; Nemakhavhani, Thendo Emmanuel – Pedagogical Research, 2022
Integrity and quality of assessments on the online platform should be upheld to ensure that it supports student learning as well as the efficacy of teaching because in the end it measures the reputation of an institution. How institutions have traversed such domains remains a grey area. This paper provides anecdotal insights into how staff from a…
Descriptors: Computer Assisted Testing, Cheating, Foreign Countries, College Faculty
Hacer Karamese – ProQuest LLC, 2022
Multistage adaptive testing (MST) has become popular in the testing industry because the research has shown that it combines the advantages of both linear tests and item-level computer adaptive testing (CAT). The previous research efforts primarily focused on MST design issues such as panel design, module length, test length, distribution of test…
Descriptors: Adaptive Testing, Scoring, Computer Assisted Testing, Design
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