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A Survey on Adaptive Random Testing [PDF]

open access: yesIEEE Transactions on Software Engineering, 2021
Random testing (RT) is a well-studied testing method that has been widely applied to the testing of many applications, including embedded software systems, SQL database systems, and Android applications. Adaptive random testing (ART) aims to enhance RT's failure-detection ability by more evenly spreading the test cases over the input domain.
Rubing Huang   +5 more
openaire   +2 more sources

Adaptvurder: Study Protocol for an Upcoming Adaptive Reading Test

open access: yesNordic Journal of Literacy Research, 2023
Effective reading instruction requires precise assessment of the learner’s current skill level. For young learners, however, assessment often comes at a great cost: Tests take a long time and students are presented with items that are both too easy and ...
Arild Michel Bakken   +5 more
doaj   +1 more source

Alternative item selection strategies for improving test security in computerized adaptive testing of the algorithm

open access: yesREID (Research and Evaluation in Education), 2020
One of the ability estimation methods that is widely applied to the Computerized Adaptive Testing (CAT) algorithm is the maximum likelihood estimation (MLE).
Iwan Suhardi
doaj   +1 more source

Digital Platform for Creating Personalized Adaptive Online Courses

open access: yesОткрытое образование (Москва), 2020
The purpose of the research is to develop a digital platform for creating personalized adaptive online courses that can integrate into the university’s e-learning environment.
N. V. Komleva, D. A. Vilyavin
doaj   +1 more source

An adaptive test of stochastic monotonicity [PDF]

open access: yesEconometric Theory, 2020
We propose a new nonparametric test of stochastic monotonicity which adapts to the unknown smoothness of the conditional distribution of interest, possesses desirable asymptotic properties, is conceptually easy to implement, and computationally attractive.
Denis Chetverikov   +2 more
openaire   +7 more sources

Development and Prospects of National Intelligent System for Testing General Language Competencies Deployed Through Neural Network Solutions

open access: yesВысшее образование в России, 2023
The article presents the results of approbation of the intellectual system for testing general language competences (ISTOK) developed by testologists, linguists, specialists in methodology of teaching foreign languages and in artificial intelligence ...
E. M. Bazanova   +4 more
doaj   +1 more source

Conducting simulation studies for computerized adaptive testing using SimulCAT: an instructional piece [PDF]

open access: yesJournal of Educational Evaluation for Health Professions, 2018
Computerized adaptive testing (CAT) technology is widely used in a variety of licensing and certification examinations administered to health professionals in the United States.
Kyung (Chris) Tyek Han
doaj   +1 more source

The Effect of Test Design on Misrouting in Computerized Multistage Testing

open access: yesInternational Journal of Turkish Education Sciences, 2023
Computerized Multistage Testing (MST) is an adaptive testing approach in which the test taker completes stages and modules on a pre-assembled panel according to his/her ability level.
Mahmut Sami Yiğiter, Nuri Doğan
doaj   +1 more source

Adaptive Knowledge Control in Digital Learning as a Factor in Improving the Quality of Education

open access: yesEducation Sciences, 2022
The quality of knowledge is the most important task of the learning system at any level and stage of education. The COVID-19 pandemic has made its own adjustments to the process of organizing education, requiring the transition from traditional to ...
Irina Bystrenina, Petr Nikitin
doaj   +1 more source

How Adaptive Is an Adaptive Test: Are All Adaptive Tests Adaptive?

open access: yesJournal of Computerized Adaptive Testing, 2019
The primary distinguishing feature of computerized adaptive testing (CAT) is that sets of items that are administered to examinees are specifically selected for each examinee during the test process. This implies that examinees who respond differently to items on a test will get different sets of test items.
Mark Reckase, Unhee Ju, Sewon Kim
openaire   +2 more sources

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