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Moothedath, Shana; Chaporkar, Prasanna; Belur, Madhu N. – Perspectives in Education, 2016
In recent years, the computerised adaptive test (CAT) has gained popularity over conventional exams in evaluating student capabilities with desired accuracy. However, the key limitation of CAT is that it requires a large pool of pre-calibrated questions. In the absence of such a pre-calibrated question bank, offline exams with uncalibrated…
Descriptors: Guessing (Tests), Computer Assisted Testing, Adaptive Testing, Maximum Likelihood Statistics
Rogers, Christopher M.; Thurlow, Martha L.; Lazarus, Sheryl S.; Liu, Kristin K. – National Center on Educational Outcomes, 2019
The purpose of this report is to present a synthesis of the research on test accommodations published in 2015 and 2016. We summarize the research to review current research trends and enhance understanding of the implications of accommodations use in the development of future policy directions, to highlight implementation of current and new…
Descriptors: Testing Accommodations, Students with Disabilities, Elementary Secondary Education, Postsecondary Education
Masango, Mxolisi; Muloiwa, Takalani; Wagner, Fezile; Pinheiro, Gabriela – Journal of Student Affairs in Africa, 2020
Knowing relevant information about students entering the higher education (HE) system is becoming increasingly important, thus enabling higher education institutions (HEIs) to design effective studentcentred support programmes. Therefore, HEIs should ascertain all relevant information about their students before the commencement of the academic…
Descriptors: Test Construction, Test Use, Biographical Inventories, Questionnaires
Gandini, Elena A. M.; Horák, Tania – Language Learning in Higher Education, 2020
This contribution reports on the developing and piloting of a computer-based version of the test of English as a foreign language produced by the University of Central Lancashire (UCLan), where it is currently used for the admission of international students and the subsequent evaluation of their language progress. Among other benefits,…
Descriptors: Computer Assisted Testing, Feedback (Response), Foreign Countries, English (Second Language)
Huda, S. S. M.; Kabir, Md.; Siddiq, Tanvir – International Journal of Education and Development using Information and Communication Technology, 2020
This paper aims to examine the effectiveness of e-assessment in higher education from the perspective of students, and it also examines the student's reaction to this method. There are many developing countries that have begun to explore technology-based assessment systems. The new assessment system has benefits to institutions and to students.…
Descriptors: Computer Assisted Testing, Student Attitudes, Program Effectiveness, Technology Uses in Education
Fu, Shixuan; Gu, Huimin; Yang, Bo – British Journal of Educational Technology, 2020
Traditional educational giants and natural language processing companies have launched several artificial intelligence (AI)-enabled digital learning applications to facilitate language learning. One typical application of AI in digital language education is the automatic scoring application that provides feedback on pronunciation repeat outcomes.…
Descriptors: Affordances, Artificial Intelligence, Computer Assisted Testing, Scoring
Nguyen, Joseph G.; Keuseman, Kristopher J.; Humston, Jonathan J. – Journal of Chemical Education, 2020
When campuses across the world needed to transition to the online format due to the COVID-19 pandemic, there were many challenges educators faced, and addressing academic integrity issues were some of the most important. Certain strategies, such as online proctoring or additional software, were not available to most institutions because the…
Descriptors: COVID-19, Pandemics, Online Courses, Distance Education
Chang, Shao-Chen; Hsu, Ting-Chia; Kuo, Wei-Chen; Jong, Morris Siu-Yung – British Journal of Educational Technology, 2020
Science and technology are driving people's life changes, including education and the environment. Many scholars have attempted to import technology into the classroom to help students learn in different subjects. However, students often need assistance with unfamiliar learning approaches and learning environments. This study proposed a…
Descriptors: Computer Simulation, Elementary School Students, Children, Geology
Sahin, Füsun; Colvin, Kimberly F. – Large-scale Assessments in Education, 2020
The item responses of examinees who rapid-guess, who do not spend enough time reading and engaging with an item, will not reflect their true ability on that item. Rapid-disengagement refers to rapidly selecting a response to multiple-choice items (i.e., rapid-guess), omitting items, or providing short-unrelated answers to open-ended items in an…
Descriptors: Guessing (Tests), Item Response Theory, Reaction Time, Learner Engagement
Goodwin, Amanda P.; Petscher, Yaacov; Jones, Sara; McFadden, Sara; Reynolds, Dan; Lantos, Tess – Reading Teacher, 2020
The authors describe Monster, P.I., which is an app-based, gamified assessment that measures language skills (knowledge of morphology, vocabulary, and syntax) of students in grades 5-8 and provides teachers with interpretable score reports to drive instruction that improves vocabulary, reading, and writing ability. Specifically, the authors…
Descriptors: Computer Assisted Testing, Handheld Devices, Language Maintenance, Language Tests
Hsu, Chia-Ling; Wang, Wen-Chung – Journal of Educational Measurement, 2015
Cognitive diagnosis models provide profile information about a set of latent binary attributes, whereas item response models yield a summary report on a latent continuous trait. To utilize the advantages of both models, higher order cognitive diagnosis models were developed in which information about both latent binary attributes and latent…
Descriptors: Computer Assisted Testing, Adaptive Testing, Models, Cognitive Measurement
Shamir, Haya – Journal of Educational Multimedia and Hypermedia, 2018
Assessing students' emerging literacy skills is crucial for identifying areas where a child may be falling behind and can lead directly to an increased chance of reading success. The Waterford Assessment of Core Skills (WACS), a computerized adaptive test of early literacy for students in prekindergarten through 2nd grade, addresses this need.…
Descriptors: Computer Assisted Testing, Adaptive Testing, Reading Tests, Preschool Children
Chang, Todd P.; Schrager, Sheree M.; Rake, Alyssa J.; Chan, Michael W.; Pham, Phung K.; Christman, Grant – Advances in Health Sciences Education, 2017
Multimedia in assessing clinical decision-making skills (CDMS) has been poorly studied, particularly in comparison to traditional text-based assessments. The literature suggests multimedia is more difficult for trainees. We hypothesize that pediatric residents score lower in diagnostic skill when clinical vignettes use multimedia rather than text…
Descriptors: Medical Students, Pediatrics, Multimedia Materials, Clinical Diagnosis
Sangwin, Christopher J.; Jones, Ian – Educational Studies in Mathematics, 2017
In this paper we report the results of an experiment designed to test the hypothesis that when faced with a question involving the inverse direction of a reversible mathematical process, students solve a multiple-choice version by verifying the answers presented to them by the direct method, not by undertaking the actual inverse calculation.…
Descriptors: Mathematics Achievement, Mathematics Tests, Multiple Choice Tests, Computer Assisted Testing
Partnership for Assessment of Readiness for College and Careers, 2016
The Partnership for Assessment of Readiness for College and Careers (PARCC) is a state-led consortium designed to create next-generation assessments that, compared to traditional K-12 assessments, more accurately measure student progress toward college and career readiness. The PARCC assessments are aligned to the Common Core State Standards…
Descriptors: Standardized Tests, Career Readiness, College Readiness, Test Validity

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