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Wise, Steven L. – Education Inquiry, 2019
A decision of whether to move from paper-and-pencil to computer-based tests is based largely on a careful weighing of the potential benefits of a change against its costs, disadvantages, and challenges. This paper briefly discusses the trade-offs involved in making such a transition, and then focuses on a relatively unexplored benefit of…
Descriptors: Computer Assisted Testing, Cheating, Test Wiseness, Scores
Lin, Chuan-Ju; Chang, Hua-Hua – Educational and Psychological Measurement, 2019
For item selection in cognitive diagnostic computerized adaptive testing (CD-CAT), ideally, a single item selection index should be created to simultaneously regulate precision, exposure status, and attribute balancing. For this purpose, in this study, we first proposed an attribute-balanced item selection criterion, namely, the standardized…
Descriptors: Test Items, Selection Criteria, Computer Assisted Testing, Adaptive Testing
Öztürk, Nagihan Boztunç – Universal Journal of Educational Research, 2019
In this study, how the length and characteristics of routing module in different panel designs affect measurement precision is examined. In the scope of the study, six different routing module length, nine different routing module characteristics, and two different panel design are handled. At the end of the study, the effects of conditions on…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Length, Test Format
Han, Yong; Wu, Wenjun; Ji, Suozhao; Zhang, Lijun; Zhang, Hui – International Educational Data Mining Society, 2019
Peer-grading is commonly adopted by instructors as an effective assessment method for MOOCs (Massive Open Online Courses) and SPOCs (Small Private online course). For solving the problems brought by varied skill levels and attitudes of online students, statistical models have been proposed to improve the fairness and accuracy of peer-grading.…
Descriptors: Peer Evaluation, Grading, Online Courses, Computer Assisted Testing
Qunbar, Sa'ed Ali – ProQuest LLC, 2019
This work presents a study that used distributed language representations of test items to model test item difficulty. Distributed language representations are low-dimensional numeric representations of written language inspired and generated by artificial neural network architecture. The research begins with a discussion of the importance of item…
Descriptors: Computer Assisted Testing, Test Items, Difficulty Level, Models
Schneider, M. Christina; Agrimson, Jared; Veazey, Mary – Educational Measurement: Issues and Practice, 2022
This paper presents results of a score interpretation study for a computer adaptive mathematics assessment. The study purpose was to test the efficacy of item developers' alignment of items to Range Achievement-Level Descriptors (RALDs; Egan et al.) against the empirical achievement-level alignment of items to investigate the use of RALDs as the…
Descriptors: Computer Assisted Testing, Mathematics Tests, Scores, Grade 3
Cowan, Nelson; Guitard, Dominic; Greene, Nathaniel R.; Fiset, Sylvain – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In the traditional conception of working memory for word lists, phonological codes are used primarily, and semantic codes are often discarded or ignored. Yet, other evidence indicates an important role for semantic codes. We carried out a preplanned set of four experiments to determine whether phonological and semantic codes are used similarly or…
Descriptors: Phonology, Semantics, Short Term Memory, Rhyme
Los, James E.; Witmer, Sara E.; Roseth, Cary J. – School Psychology Review, 2022
Scores from computer-based tests are increasingly used to inform a variety of school- and student-level decisions. An underlying assumption is that the associated scores represent effortful responding by each student with respect to the tasks presented. An innovative method for examining evidence for this assumption involves an examination of item…
Descriptors: Student Motivation, Tests, Middle School Students, Computer Assisted Testing
Kochem, Tim; Beck, Jeanne; Goodale, Erik – CALICO Journal, 2022
Technology has paved the way for new modalities in language learning, teaching, and assessment. However, there is still a great deal of work to be done to develop such tools for oral communication, specifically tools that address suprasegmental features in pronunciation instruction. Therefore, this critical literature review examines how…
Descriptors: Computer Software, Teaching Methods, Audio Equipment, Computer Assisted Instruction
Lam, Tsz Yiu; Dongol, Brijesh – Interactive Learning Environments, 2022
The properties of a blockchain such as immutability, provenance, and peer-executed smart contracts could bring a new level of security, trust, and transparency to e-learning. In this paper, we introduce our proof-of-concept blockchain-based e-learning platform developed to increase transparency in assessments and facilitate curriculum…
Descriptors: Information Technology, Web Based Instruction, Instructional Innovation, Electronic Learning
Vanderburg, Robert M.; Gibson, Nicholas; Cowling, Michael A. – International Journal for Technology in Mathematics Education, 2022
In 2015, all Australian education ministers agreed that from 1 July 2016 the Government would initiate the Literacy and Numeracy Test for Initial Teacher Education (LANTITE), designed to verify that all prospective teachers could demonstrate the literacy and numeracy skills required in their profession. The LANTITE quickly became another hurdle…
Descriptors: Foreign Countries, Preservice Teacher Education, Preservice Teachers, Computer Assisted Testing
Wudthayagorn, Jirada; Piamsai, Chatraporn; Thanompongchart, Phasphan – PASAA: Journal of Language Teaching and Learning in Thailand, 2022
In Thailand, a series of policies have been implemented at all levels of Thai education. It is hoped that English language ability among Thai citizens will be improved. In primary education, following the English language education policy for primary school students introduced by the Office of Basic Education Commission (2016), English has been…
Descriptors: Language Proficiency, Language Tests, Computer Assisted Testing, Rating Scales
Pásztor, Attila; Magyar, Andrea; Pásztor-Kovács, Anita; Rausch, Attila – Journal of Intelligence, 2022
The aims of the study were (1) to develop a domain-general computer-based assessment tool for inductive reasoning and to empirically test the theoretical models of Klauer and Christou and Papageorgiou; and (2) to develop an online game to foster inductive reasoning through mathematical content and to investigate its effectiveness. The sample was…
Descriptors: Game Based Learning, Logical Thinking, Computer Assisted Testing, Models
Chiew, Fei Ha; Noh, Narita; Oh, Chai Lian; Noor, Nur Asmaliza Mohd; Isa, Che Maznah Mat – Asian Journal of University Education, 2022
The COVID-19 pandemic has brought about a true challenge to students and educators in the teaching, learning and assessment (TLA) of the psychomotor domain integral in laboratory experiment and design work. The pandemic has opened venues for open distance learning (ODL) with a completely new outlook for educators. The objective of this paper is to…
Descriptors: COVID-19, Pandemics, Open Education, Distance Education
von Zansen, Anna; Hilden, Raili; Laihanen, Emma – International Journal of Listening, 2022
In this study, we used the Rasch measurement to investigate the fairness of the listening section of a national computerized high-stakes English test for differential item functioning (DIF) across gender subgroups. The computerized test format inspired us to investigate whether the items measure listening comprehension differently for females and…
Descriptors: High Stakes Tests, Listening Comprehension Tests, Listening Comprehension, Gender Differences

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