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Cheng, Yiling – Measurement: Interdisciplinary Research and Perspectives, 2023
Computerized adaptive testing (CAT) offers an efficient and highly accurate method for estimating examinees' abilities. In this article, the free version of Concerto Software for CAT was reviewed, dividing our evaluation into three sections: software implementation, the Item Response Theory (IRT) features of CAT, and user experience. Overall,…
Descriptors: Computer Software, Computer Assisted Testing, Adaptive Testing, Item Response Theory
Diao, Qi; van der Linden, Wim J. – Applied Psychological Measurement, 2011
This article reviews the use of the software program lp_solve version 5.5 for solving mixed-integer automated test assembly (ATA) problems. The program is freely available under Lesser General Public License 2 (LGPL2). It can be called from the statistical language R using the lpSolveAPI interface. Three empirical problems are presented to…
Descriptors: Adaptive Testing, Computer Software, Literature Reviews, Computer Assisted Testing
Wong, Lung-Hsiang; Looi, Chee-Kit – Interactive Learning Environments, 2012
The notion of a system adapting itself to provide support for learning has always been an important issue of research for technology-enabled learning. One approach to provide adaptivity is to use social navigation approaches and techniques which involve analysing data of what was previously selected by a cluster of users or what worked for…
Descriptors: Electronic Learning, Entomology, Educational Technology, Individualized Instruction
Lau, Paul Ngee Kiong; Lau, Sie Hoe; Hong, Kian Sam; Usop, Hasbee – Educational Technology & Society, 2011
The number right (NR) method, in which students pick one option as the answer, is the conventional method for scoring multiple-choice tests that is heavily criticized for encouraging students to guess and failing to credit partial knowledge. In addition, computer technology is increasingly used in classroom assessment. This paper investigates the…
Descriptors: Guessing (Tests), Multiple Choice Tests, Computers, Scoring
Huang, Yueh-Min; Lin, Yen-Ting; Cheng, Shu-Chen – Computers & Education, 2009
With the rapid growth of computer and mobile technology, it is a challenge to integrate computer based test (CBT) with mobile learning (m-learning) especially for formative assessment and self-assessment. In terms of self-assessment, computer adaptive test (CAT) is a proper way to enable students to evaluate themselves. In CAT, students are…
Descriptors: Self Evaluation (Individuals), Test Items, Formative Evaluation, Educational Assessment
Koong, Chorng-Shiuh; Wu, Chi-Ying – Computers & Education, 2010
Multiple intelligences, with its hypothesis and implementation, have ascended to a prominent status among the many instructional methodologies. Meanwhile, pedagogical theories and concepts are in need of more alternative and interactive assessments to prove their prevalence (Kinugasa, Yamashita, Hayashi, Tominaga, & Yamasaki, 2005). In general,…
Descriptors: Multiple Intelligences, Test Items, Grading, Programming
Shuqun, Yang; Shuliang, Ding; Zhiqiang, Yao – International Journal of Distance Education Technologies, 2009
Cognitive diagnosis (CD) plays an important role in intelligent tutoring system. Computerized adaptive testing (CAT) is adaptive, fair, and efficient, which is suitable to large-scale examination. Traditional cognitive diagnostic test needs quite large number of items, the efficient and tailored CAT could be a remedy for it, so the CAT with…
Descriptors: Monte Carlo Methods, Distance Education, Adaptive Testing, Intelligent Tutoring Systems
Kaburlasos, Vassilis G.; Marinagi, Catherine C.; Tsoukalas, Vassilis Th. – Computers & Education, 2008
This work presents innovative cybernetics (feedback) techniques based on Bayesian statistics for drawing questions from an Item Bank towards personalized multi-student improvement. A novel software tool, namely "Module for Adaptive Assessment of Students" (or, "MAAS" for short), implements the proposed (feedback) techniques. In conclusion, a pilot…
Descriptors: Feedback (Response), Student Improvement, Computer Science, Bayesian Statistics
Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R. – International Journal of Distance Education Technologies, 2009
E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…
Descriptors: Electronic Learning, Student Evaluation, Formative Evaluation, Educational Objectives
McFadden, Anna C.; Marsh, George E., II; Price, Barrie Jo – Computers in the Schools, 2002
The rapid growth of the Internet and intranets supports the infrastructure necessary for computer-based testing (CBT). The parallel growth of sophisticated computer programming and powerful computers offers new possibilities in testing, such as Computerized Adaptive Testing (CAT), where the responses of the subject dictate the nature of the test…
Descriptors: Computer Assisted Testing, Adaptive Testing, Formative Evaluation, Comparative Analysis
Rupp, Andre A. – International Journal of Testing, 2003
Item response theory (IRT) has become one of the most popular scoring frameworks for measurement data. IRT models are used frequently in computerized adaptive testing, cognitively diagnostic assessment, and test equating. This article reviews two of the most popular software packages for IRT model estimation, BILOG-MG (Zimowski, Muraki, Mislevy, &…
Descriptors: Test Items, Adaptive Testing, Item Response Theory, Computer Software
Liu, Chao-Lin – Educational Technology & Society, 2005
The author analyzes properties of mutual information between dichotomous concepts and test items. The properties generalize some common intuitions about item comparison, and provide principled foundations for designing item-selection heuristics for student assessment in computer-assisted educational systems. The proposed item-selection strategies…
Descriptors: Test Items, Heuristics, Classification, Item Analysis
Ketterlin-Geller, Leanne R. – Journal of Technology, Learning, and Assessment, 2005
Universal design for assessment (UDA) is intended to increase participation of students with disabilities and English-language learners in general education assessments by addressing student needs through customized testing platforms. Computer-based testing provides an optimal format for creating individually-tailored tests. However, although a…
Descriptors: Student Needs, Disabilities, Grade 3, Second Language Learning