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Yasuda, Jun-ichiro; Mae, Naohiro; Hull, Michael M.; Taniguchi, Masa-aki – Physical Review Physics Education Research, 2021
As a method to shorten the test time of the Force Concept Inventory (FCI), we suggest the use of computerized adaptive testing (CAT). CAT is the process of administering a test on a computer, with items (i.e., questions) selected based upon the responses of the examinee to prior items. In so doing, the test length can be significantly shortened.…
Descriptors: Foreign Countries, College Students, Student Evaluation, Computer Assisted Testing
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Gawliczek, Piotr; Krykun, Viktoriia; Tarasenko, Nataliya; Tyshchenko, Maksym; Shapran, Oleksandr – Advanced Education, 2021
The article deals with the innovative, cutting age solution within the language testing realm, namely computer adaptive language testing (CALT) in accordance with the NATO Standardization Agreement 6001 (NATO STANAG 6001) requirements for further implementation in foreign language training of personnel of the Armed Forces of Ukraine (AF of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Language Tests, Second Language Instruction
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Purpura, James E.; Davoodifard, Mashad; Voss, Erik – Language Assessment Quarterly, 2021
The online placement test for the Community English Language Program (CLP) at Teachers College, Columbia University has been administered in a computer lab since 2015. While most of the components of this placement exam system are online, including registration, exam delivery, scoring, and score reporting, the COVID-19 pandemic elevated the need…
Descriptors: Student Placement, Language Tests, Second Language Instruction, Second Language Learning
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Wang, Wei; Dorans, Neil J. – ETS Research Report Series, 2021
Agreement statistics and measures of prediction accuracy are often used to assess the quality of two measures of a construct. Agreement statistics are appropriate for measures that are supposed to be interchangeable, whereas prediction accuracy statistics are appropriate for situations where one variable is the target and the other variables are…
Descriptors: Classification, Scaling, Prediction, Accuracy
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Aylward, Katie; Dahlman, Joakim; Nordby, Kjetil; Lundh, Monica – Education Sciences, 2021
Maritime user interfaces for ships' bridges are highly dependent on the context in which they are used, and rich maritime context is difficult to recreate in the early stages of user-centered design processes. Operations in Arctic waters where crews are faced with extreme environmental conditions, technology limitations and a lack of accurate…
Descriptors: Computer Simulation, Vignettes, Design, Concept Formation
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Hipkiss, Amanda; Woods, Kevin A.; McCaldin, Tamsin – British Journal of Special Education, 2021
Access arrangements (AAs) in GCSE and GCE examinations are the reasonable adjustments made for students with special educational needs and disabilities (SEND) under the Equality Act 2010. The Joint Council for Qualifications (JCQ) sets out evidence requirements for allowing AAs on behalf of awarding bodies, although there is a lack of research…
Descriptors: Secondary School Students, Exit Examinations, Testing Accommodations, Students with Disabilities
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Matayoshi, Jeffrey; Cosyn, Eric; Uzun, Hasan – International Journal of Artificial Intelligence in Education, 2021
Many recent studies have looked at the viability of applying recurrent neural networks (RNNs) to educational data. In most cases, this is done by comparing their performance to existing models in the artificial intelligence in education (AIED) and educational data mining (EDM) fields. While there is increasing evidence that, in many situations,…
Descriptors: Artificial Intelligence, Data Analysis, Student Evaluation, Adaptive Testing
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Nurdin, Erdawati; MZ, Zubaidah Amir; Nufus, Hayatun; Thakur, Deepti; Shah, Firdous A.; Dube, Rakesh; Wijaya, Tommy Tanu – Malikussaleh Journal of Mathematics Learning, 2021
The COVID-19 outbreak has an impact on the provision of education. One of them is the process of online assessment or examination. Difficulties occur during online exams; weak supervision can increase cheating behavior among students. Generally, teachers or lecturers think about how to prevent this behavior. However, what if they are allowed to…
Descriptors: Mathematics Tests, Computer Assisted Testing, Cheating, Student Attitudes
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Griffin, Lara; Evans, David – Australasian Journal of Special and Inclusive Education, 2021
Education is a human right of every child and adolescent. The impact of a disability such as cerebral palsy should not pose barriers to this right because of structures within education environments (e.g., rigid examination conditions). Students within Australia with a disability are supported by legislation that ensures they can participate in…
Descriptors: Testing Accommodations, Students with Disabilities, Foreign Countries, Educational Legislation
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Robinson, Daniel H. – Educational Psychology Review, 2021
In an article published in an open-access journal, (Pennebaker et al. "PLoS One," 8(11), e79774, 2013) reported that an innovative computer-based system that included daily online testing resulted in better student performance in other concurrent courses and a reduction in achievement gaps between lower and upper middle-class students.…
Descriptors: Computer Assisted Testing, Academic Achievement, Student Evaluation, College Students
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Goldhammer, Frank; Hahnel, Carolin; Kroehne, Ulf; Zehner, Fabian – Large-scale Assessments in Education, 2021
International large-scale assessments such as PISA or PIAAC have started to provide public or scientific use files for log data; that is, events, event-related attributes and timestamps of test-takers' interactions with the assessment system. Log data and the process indicators derived from it can be used for many purposes. However, the intended…
Descriptors: International Assessment, Data, Computer Assisted Testing, Validity
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Rohr-Mentele, Silja; Forster-Heinzer, Sarah – Empirical Research in Vocational Education and Training, 2021
Competence development and measurement are of great interest to vocational education and training (VET). Although there are many instruments available for measuring competence in diverse settings, in many cases, the completed steps of validation are neither documented nor made transparent in a comprehensible manner. Understanding what an…
Descriptors: Foreign Countries, Vocational Education, Test Validity, Competence
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Nigam, Aditya; Pasricha, Rhitvik; Singh, Tarishi; Churi, Prathamesh – Education and Information Technologies, 2021
There have been giant leaps in the field of education in the past 1-2 years. Schools and colleges are transitioning online to provide more resources to their students. The COVID-19 pandemic has provided students more opportunities to learn and improve themselves at their own pace. Online proctoring services (part of assessment) are also on the…
Descriptors: Supervision, Artificial Intelligence, Computer Assisted Testing, Educational Research
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Sotola, Lukas K.; Crede, Marcus – Educational Psychology Review, 2021
We present the results of a meta-analytic synthesis of the literature on the association between the use of frequent low-stakes quizzes in real classes and students' academic performance in those classes. Data from 52 independent samples from real classes (N = 7864) suggests a moderate association of d = 0.42 between the use of quizzes and…
Descriptors: Tests, Testing, Academic Achievement, Effect Size
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Thomas, Gary – British Educational Research Journal, 2021
Natural scientists are relaxed about the multiple forms experiment takes in their various fields. Yet in education we have for many years constrained our notion of experiment. This methodological circumscription has been self-imposed on the grounds that experiment of a particular, well-defined form offers the clearest evidence of a link between…
Descriptors: Educational Experiments, Models, Intervention, Context Effect
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