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Journal articles on the topic 'Computer adaptive language testing (CALT)'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

Noijons, José. "Testing Computer Assisted Language Testing." CALICO Journal 12, no. 1 (2013): 37–58. http://dx.doi.org/10.1558/cj.v12i1.37-58.

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Much computer assisted language learning (CALL) material that includes tests and exercises looks attractive enough but is clearly lacking in terms of validation: the possibilities of the computer and the inventiveness of the programmers mainly determine the format of tests and exercises, causing possible harm to a fair assessment of pupils' language abilities. This article begins with a definition of computer assisted language testing (CALT), followed by a discussion of the various processes involved. E3oth advantages and disadvantages of CALT are outlined. Psychometric aspects of comput

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Gawliczek, Piotr, Viktoriia Krykun, Nataliya Tarasenko, Maksym Tyshchenko, and Oleksandr Shapran. "COMPUTER ADAPTIVE LANGUAGE TESTING ACCORDING TO NATO STANAG 6001 REQUIREMENTS." Advanced Education 8, no. 18 (2021): 19–26. http://dx.doi.org/10.20535/2410-8286.225018.

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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 Ukraine) in order to increase the quality of foreign language testing. The research provides the CALT method developed according to NATO STANAG 6001 requirements and the CALT algorithm that contains three blocks: “Starting point”, “Item selection algorithm”,

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Meunier, Lydie E. "Computer Adaptive Language Tests (CALT) Offer a Great Potential for Functional Testing. Yet, Why Don't They?" CALICO Journal 11, no. 4 (2013): 23–39. http://dx.doi.org/10.1558/cj.v11i4.23-39.

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Computer adaptive language testing (CALT) is a relatively new computer based testing approach which offers substantial advantages such as 1) the ability for examinees to pace themselves, the ability 2) to individualize tests, 3) to make tests shorter, 4) to promote a more positive attitude toward tests, 5) to report test results immediately, 6) to measure tests with precision, and 7) to improve test security. CALT tailors tests to the student's level of language ability. The item sequencing of CALT is based on a continuum of difficulty; items are calibrated according to their difficulty index.

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Mahajan, Muskan. "A LITERATURE REVIEW OF THE OPPORTUNITIES AND BARRIERS IN COMPUTER-ASSISTED LANGUAGE LEARNING (CALL)." Journal of English Language and Literature 09, no. 03 (2022): 37–48. http://dx.doi.org/10.54513/joell.2022.9305.

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The use of computers in language instruction has been a topic of research interest since the 1960s. The following literature review gives an overview of how Computer-assisted language learning (CALL) has evolved from mainframe-based drill and practice programs to NLP-based conversational agents that function as language tutors. Further, the review examines the economic, logistic, and technical to adopting CALL. Ultimately, the review sheds light on the new opportunities presented to CALL to overcome the barriers, primarily owing to advancements in the field of adaptive learning and testing and

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Magal-Royo, Teresa, Laborda Jesus Garcia, and Sara Price. "A New m-Learning Scenario for a Listening Comprehension Assessment Test in Second Language Acquisition [SLA]." JUCS - Journal of Universal Computer Science 23, no. (12) (2017): 1200–1214. https://doi.org/10.3217/jucs-023-12-1200.

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Computer adaptive language testing offers the possibility to research and practice m-learning using ubiquitous technology. Virtual education in m-learning uses conventional Learning Objects (LO) to enable the possibility of development of several tasks oriented towards language learning including the assessment and verification of skill improvements in second language acquisition. So far, there are few research papers on the impact of using new multimodal digital resources as LO in the design process of foreign language assessment tests through mobile devices because many English certification

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Hussain, Riaz, Muhammad Sumair Zahid, and Youshaib Alam. "Ensuring Viable Solutions in Resource-Constrained Language Teaching Settings: ESL Learners Perceptions about Computer-Assisted Language Testing (CALT)." Sustainable Business and Society in Emerging Economies 3, no. 4 (2021): 509–19. http://dx.doi.org/10.26710/sbsee.v3i4.2052.

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Purpose: Across the globe, organizations operating in testing services have made optimum use of this technology and seem to have won greater trust and confidence of the test-takers. The purpose of the current study was to explore the perceptions of ESL learners about Computer-Assisted Language Testing (CALT). It further aimed to investigate the challenges and problems learners encounter during the test. Design/Methodology/Approach: The current study had two phases: CALT test and a questionnaire-based survey. In the first phase, the researchers designed and conducted a CALT test to give l

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Madsen, Harold. "Evaluating A Computer-Adaptive ESL Placement Test." CALICO Journal 4, no. 2 (2013): 41–50. http://dx.doi.org/10.1558/cj.v4i2.41-50.

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The purpose of this article is to evaluate one of the first operational computerized-adaptive ESL tests in the United States. Utilizing an item bank of 300 grammar and reading items, the CALT exam was administered to 72 foreign students and later to 42 FL students; subjects also responded to a questionnaire. Results showed an overwhelmingly positive reaction to the computerized tests, but significant negative reaction by most Japanese students. In addition, the CALT was far more efficient than conventional paper and pencil tests.

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Notash, Masoud Yaghoubi, and Maryam Mahmoodi. "Grammatical accuracy & length across computer-assisted and pencilâ€“and-paper assessments: Variation in advanced-level EFL writing." INTERNATIONAL JOURNAL OF RESEARCH IN EDUCATION METHODOLOGY 7, no. 1 (2016): 989–96. http://dx.doi.org/10.24297/ijrem.v7i1.3852.

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The sweeping trend of communication technologies increasingly makes computers and computer-based operations an indispensable part of our everyday lives. Education as a institution deeply rooted within the context of the broader community can, therefore, hardly afford to do without the digital era. Assessment, as a subcategory of education, is expected to be under the influence of the same trend. The present study, focusing on the EFL situation in Iran compared two equal-sized advanced learnersâ€™ Â each containing 20) writing accuracy and length. One group employed the traditional paper-and-pe

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Larson, Jerry W., and Harold S. Madsen. "COMPUTERIZED ADAPTIVE LANGUAGE TESTING: MOVING BEYOND COMPUTER-ASSISTED TESTING." CALICO Journal 2, no. 3 (2013): 32–37. http://dx.doi.org/10.1558/cj.v2i3.32-37.

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Tests with their many inexact measurements have been the concern of psychometricians for many years. The two issues of adequate precision and a common 'yardstick' for measuring persons of different abilities have been particularly difficult to deal with. Computer-adaptive testing holds great promise in dealing with these and related issues in the field of testing. This paper describes several test variables of concern and explains the concept of computer-adaptive testing and its relationship to these variables.

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Chalhoub–Deville, Micheline, and Craig Deville. "COMPUTER ADAPTIVE TESTING IN SECOND LANGUAGE CONTEXTS." Annual Review of Applied Linguistics 19 (January 1999): 273–99. http://dx.doi.org/10.1017/s0267190599190147.

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The widespread accessibility to large, networked computer labs at educational sites and commercial testing centers, coupled with fast-paced advances in both computer technology and measurement theory, along with the availability of off-the-shelf software for test delivery, all help to make the computerized assessment of individuals more efficient and accurate than assessment using traditional paper-and-pencil (P&P) tests. Computer adaptive testing (CAT) is a form of computerized assessment that has achieved a strong foothold in licensure and certification testing and is finding greater app

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Hryshchuk, Yu, and V. Krykun. "ADAPTIVE APPROACH TO FOREIGN LANGUAGE TRAINING, LANGUAGE TESTING TO ASSESS LANGUAGE PROFICIENCY LEVELS ACCORDING TO NATO STANAG 6001 IN THE ARMED FORCES OF UKRAINE." Zhytomyr Ivan Franko state university journal. Рedagogical sciences, no. 3(110) (October 27, 2022): 225–40. http://dx.doi.org/10.35433/pedagogy.3(110).2022.225-240.

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The article is devoted to the application of an adaptive approach in the language training system of military subject matter experts of the Armed Forces of Ukraine. The authors theoretically analyzed the adaptive processes in the educational environment and their methodical implementation in the language training system of the personnel of the Armed Forces of Ukraine. It has been studied that the adaptive approach allows to personalize the process of acquiring competences by the subjects of this system: military subject matter experts, teachers of foreign languages of higher military education

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Jamieson, Joan. "TRENDS IN COMPUTER-BASED SECOND LANGUAGE ASSESSMENT." Annual Review of Applied Linguistics 25 (March 2005): 228–42. http://dx.doi.org/10.1017/s0267190505000127.

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In the last 20 years, several authors have described the possible changes that computers may effect in language testing. Since ARAL's last review of general language testing trends (Clapham, 2000), authors in the Cambridge Language Assessment Series have offered various visions of how computer technology could alter the testing of second language skills. This chapter reflects these perspectives as it charts the paths recently taken in the field. Initial steps were made in the conversion of existing item types and constructs already known from paper-and- pencil testing into formats suitable for

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Fulcher, Glenn. "Book Review: Issues in computer-adaptive testing of reading proficiency: selected papers." Language Testing 17, no. 3 (2000): 361–67. http://dx.doi.org/10.1177/026553220001700305.

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Yan, Hengbin, Jiexuan Lin, and Ying Liu. "EFL Pronunciation Training With Computer-Assisted Adaptive Peer Review." English Language Teaching 11, no. 11 (2018): 74. http://dx.doi.org/10.5539/elt.v11n11p74.

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Pronunciation is an important yet often neglected subfield in Second Language Acquisition, both in pedagogy and research. One significant, under-researched area is the role peer assessment/review can play in shaping English-as-a-Foreign-Language (EFL) students&rsquo; pronunciation proficiency. Whereas there have been many studies demonstrating the effectiveness and benefits of peer review on EFL writing/oral proficiency etc., few studies exist that test the efficacy of similar approaches as applied to pronunciation learning/training tasks. To investigate the viability of computer assisted

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Settles, Burr, Geoffrey T. LaFlair, and Masato Hagiwara. "Machine Learning–Driven Language Assessment." Transactions of the Association for Computational Linguistics 8 (July 2020): 247–63. http://dx.doi.org/10.1162/tacl_a_00310.

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We describe a method for rapidly creating language proficiency assessments, and provide experimental evidence that such tests can be valid, reliable, and secure. Our approach is the first to use machine learning and natural language processing to induce proficiency scales based on a given standard, and then use linguistic models to estimate item difficulty directly for computer-adaptive testing. This alleviates the need for expensive pilot testing with human subjects. We used these methods to develop an online proficiency exam called the Duolingo English Test, and demonstrate that its scores a

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Fergadiotis, Gerasimos, William D. Hula, Alexander M. Swiderski, Chia-Ming Lei, and Stacey Kellough. "Enhancing the Efficiency of Confrontation Naming Assessment for Aphasia Using Computer Adaptive Testing." Journal of Speech, Language, and Hearing Research 62, no. 6 (2019): 1724–38. http://dx.doi.org/10.1044/2018_jslhr-l-18-0344.

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Burston, Jack. "Practical Design and Implementation Considerations of a Computer Adaptive Foreign Language Test." CALICO Journal 13, no. 1 (2013): 26–43. http://dx.doi.org/10.1558/cj.v13i1.26-43.

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While the psychometric and statistical models underlying the design of computer adaptive tests (CAT) are well understood, relatively few working models exist for the purpose of foreign language assessment. Likewise, little has been published concerning the practical considerations affecting the implementation of such tests. in the process of constructing the Monash/Melbourne French CAT, we discovered much about putting testing theory into practice. The present paper reports this experience in three parts. In a preliminary section, we describe the academic context in which the French CAT was cr

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Perkins, Kyle. "Assessing Reading." Annual Review of Applied Linguistics 18 (March 1998): 208–18. http://dx.doi.org/10.1017/s026719050000355x.

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The fields of reading comprehension per se and second language reading comprehension are vast indeed, and an attempt to survey them will, of necessity, be attenuated in a chapter of this size. As a consequence, I will limit my discussion to six areas: 1) general comments concerning areas of interest in reading research and assessment, 2) the adaptation of a suitable first-language reading comprehension model for second-language assessment, 3) the reliance on a top-down model of reading comprehension, 4) the validity of multiple-choice reading comprehension tests, 5) research on behavioral anch

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LAURIER, MICHEL. "Can computerised testing be authentic?" ReCALL 12, no. 1 (2000): 93–104. http://dx.doi.org/10.1017/s0958344000001014.

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The concept of authenticity first appeared with the development of the communicative approach. More recently, in the field of educational measurement, authentic assessment methods have been proposed. Although adaptive testing seems to be the most important application of computers in language assessment, these tests are usually not authentic. Since many real world tasks are accomplished with computers, these may be used for authentic direct testing. Computers may be also used in semi-direct testing as a way to enhance the context. Finally in authentic assessment, computers may be used as a too

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CONIAM, DAVID. "Evaluating computer-based and paper-based versions of an English-language listening test." ReCALL 18, no. 2 (2006): 193–211. http://dx.doi.org/10.1017/s0958344006000425.

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This paper describes an English language listening test intended as computer-based testing material for secondary school students in Hong Kong, where considerable attention is being invested in online and computer-based testing. As well as providing a school-based testing facility, the study aims to contribute to the knowledge base regarding the efficacy and reliability of computer-based testing. The paper describes the construction of an item bank of over 400 short listening items calibrated on item response theory principles. Items from this bank were used to form a traditional paper-based l

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Pandey, Gopal Prasad. "From Traditional to Modern: Evolving Practices in Language Testing and Assessment." Interdisciplinary Research in Education 9, no. 2 (2024): 26–37. https://doi.org/10.3126/ire.v9i2.75020.

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This paper looks into the shifts from traditional to innovative and inclusive language testing methods, focusing on developments such as alternative assessment, AI integration, and computer-adaptive testing. This study employs a desk-based approach to the literature which synthesizes relevant theories in order to highlight the increased focus on fairness, inclusivity and authentic assessment. The key findings highlight that dynamic and performance-based assessments address the different learning needs of the learners; promote instrumentality towards language use and incorporate socio-political

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Burston, Jack, and Maro Neophytou. "Lessons Learned in Designing and Implementing a Computer-Adaptive Test for English." EuroCALL Review 22, no. 2 (2014): 19. http://dx.doi.org/10.4995/eurocall.2014.3632.

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<span>This paper describes the lessons learned in designing and implementing a computer-adaptive test (CAT) for English. The early identification of students with weak L2 English proficiency is of critical importance in university settings that have compulsory English language course graduation requirements. The most efficient means of diagnosing the L2 English ability of incoming students is by means of a computer-based test since such evaluation can be administered quickly, automatically corrected, and the outcome known as soon as the test is completed. While the option of using a comm

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Mizumoto, Atsushi, Yosuke Sasao, and Stuart A. Webb. "Developing and evaluating a computerized adaptive testing version of the Word Part Levels Test." Language Testing 36, no. 1 (2017): 101–23. http://dx.doi.org/10.1177/0265532217725776.

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The knowledge about affix plays a vital role in the development of word knowledge and vocabulary acquisition. A test for diagnostic information on the level of affix knowledge would be useful in order to inform the test users of what learners have gained or lacked in this integral component of vocabulary knowledge. This paper reports the development and evaluation of a computerized adaptive testing (CAT) version of the Word Part Levels Test (WPLT), created by Sasao and Webb (2017). The CAT-WPLT was developed to maximize further the effectiveness of the WPLT as a diagnostic test. It was adminis

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Suvorov, Nikolay. "Psychophysiological Training of Operators in Adaptive Biofeedback Cardiorhythm Control." Spanish Journal of Psychology 9, no. 2 (2006): 193–200. http://dx.doi.org/10.1017/s1138741600006090.

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A new individual computerized technique for psychophysiological training of operators before performing psychomotor activity on a computer model (psychomotor concentration and spatial orientation test) was developed. Qualitative criteria for the prediction of safe operator activity were formulated. Preliminary testing of operators' activity quality showed great dispersion of individual results: The amount of errors ranged from 0 to 56 and the rate of information processing varied from 1.01 up 3.56 bit/s. Subjects with initially identified respiratory sinus arrhythmia or synchronization caused

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Kiktová, Eva, Rudolph Sock, and Peter Getlík. "Testing in Noise Based on the First Adaptive Matrix Sentence Test in Slovak Language." Electronics 13, no. 3 (2024): 602. http://dx.doi.org/10.3390/electronics13030602.

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This study deals with an acoustic perceptual test performed on the basis of adaptive matrix tests, which represent a modern and reliable tool that can be used not only in perceptual phonetics but also for detecting problems related to hearing. The tests used, based on the first Slovak adaptive matrix, provided extensive test material, which was evaluated through a series of tests implemented according to ICRA (International Collegium of Rehabilitative Audiology) guidelines. Healthy listeners took part in the tests, and, during the tests, they listened to prepared sentence stimuli simultaneousl

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Hengeveld, Bart, Riny Voort, Caroline Hummels, et al. "The Development of LinguaBytes: An Interactive Tangible Play and Learning System to Stimulate the Language Development of Toddlers with Multiple Disabilities." Advances in Human-Computer Interaction 2008 (2008): 1–13. http://dx.doi.org/10.1155/2008/381086.

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Young children with multiple disabilities (e.g., both cognitive and motor disabilities) are confronted with severe limitations in language development from birth and later on. Stimulating the adult-child communication can decrease these limitations. WithinLinguaBytes, a three-year research program, we try to stimulate language development by developing an interactive and adaptive play and learning environment, incorporating tangible objects and multimedia content, based on interactive storytelling and anchored instruction. The development of a product for such a heterogeneous user group presen

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Jainik Sudhanshubhai Patel. "AI-Driven Test Automation: Transforming Software Quality Engineering." Journal of Computer Science and Technology Studies 7, no. 2 (2025): 339–47. https://doi.org/10.32996/jcsts.2025.7.2.35.

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The integration of artificial intelligence into test automation represents a paradigm shift in software quality engineering, addressing longstanding challenges of traditional testing methods. As applications grow increasingly complex with microservices architectures, cloud-native components, and frequent deployment cycles, AI-driven testing emerges as a solution to the brittleness and maintenance overhead of conventional approaches. By leveraging machine learning, natural language processing, computer vision, and self-learning systems, organizations can reduce script maintenance efforts while

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Peregudova, I. P. "Dynamic assessment of correlation of number of actions and the time pace of educational activity in monitoring foreign language education." Informatics and education, no. 6 (October 13, 2020): 61–67. http://dx.doi.org/10.32517/0234-0453-2020-35-6-61-67.

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The problem of studying the correlation between the complexity and the time pace of completing tasks for perceiving a foreign language by ear through dynamic adaptive audio test simulators is relevant for monitoring foreign or bilingual education. This is due to the fact that the complexity and the time pace are dynamic parameters of educational activity, and characterize human learning. Learning a foreign language is the main indicator of the linguistic abilities of students and can be considered as an indicator of the learning potential. The article discusses the construction of scattering d

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Krajka, Jaroslaw. "Review of English language proficiency assessments for young learners; Editors: Mikyung Kim Wolf, Yuko Goto Butler; Publisher: Routledge, 2017; ISBN: 9781138940369; Pages: 295." Studies in Second Language Learning and Teaching 11, no. 1 (2021): 157–63. http://dx.doi.org/10.14746/ssllt.2021.11.1.7.

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Language assessment has recently attracted a great deal of attention of both researchers and practitioners, which is evidenced, among other things, by a number of well-known monographs (Brown & Abeywickrama, 2010; Coombe et al., 2012; Gordon & Rajagopalan, 2016; Gottlieb, 2006; Komorowska, 2002; Tsagari & Banerjee, 2016, to name just a few), as well as a proliferation of journals oriented towards language testing and assessment (e.g., Language Testing, Assessing Writing, Language Assessment Quarterly, International Journal of Language Testing and Assessment, and Educational Assessm

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Kwan, Yu Heng, Eva Fenwick, Ying Ying Leung, et al. "Establishing language and ethnic equivalence for health-related quality of life item banks and testing their efficiency via computerised adaptive testing simulations." PLOS ONE 19, no. 2 (2024): e0298141. http://dx.doi.org/10.1371/journal.pone.0298141.

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Purpose We aimed to (1) establish linguistic and ethnic equivalence (i.e. lack of bias) for the items in the English and Chinese versions of the Singapore Health and Well Being (SHAWS) Physical Functioning (PF), Positive Mindset (PM) and Social Relationship (SR) item banks (IBs); and (2) evaluate the preliminary efficiency of these IBs using Computer Adaptive Testing (CAT) simulations. Methods In this cross-sectional study, 671, 670, and 672 subjects answered 55, 48 and 30 items of the PF, PM, and SR IBs, respectively. Rasch analysis was conducted to assess each IB’s psychometric properties, p

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Cúri, Mariana, and Vanessa Silva. "Academic English Proficiency Assessment Using a Computerized Adaptive Test." TEMA - Tendências em Matemática Aplicada e Computacional 20, no. 2 (2019): 381. http://dx.doi.org/10.5540/tema.2019.020.02.381.

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This paper describes the steps to convert a paper-and-pencil English proficiency test for academic purposes, consisting of multiple choice items administered following the Admissible Probability Measurement Procedure [24], adopted by the graduate program at the Institute of Mathematics and Computer Sciences at the University of São Paulo (ICMC-USP), Brazil, to a computerized adaptive test (CAT) based on an Item Response Theory Model (IRT). Despite the fact that the program accepts various internationally recognized tests that attest non-native speakers English proficiency, such as the Test of

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N. Hula, Ibnu Rawandhy, Moh Zulkifli Paputungan, and Ana Mariana. "PENGEMBANGAN HYBRID LEARNING BERBASIS APLIKASI COMPUTER ASSITED TEST (CAT) PADA PROGRAM ARABIC PROFICIENCY TEST." Tadbir: Jurnal Manajemen Pendidikan Islam 9, no. 1 (2021): 103–25. http://dx.doi.org/10.30603/tjmpi.v9i1.2063.

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This study aims to develop Hybrid Learning based on the Computer Assisted Test (CAT) application in the Arabic Proficiency Test (APT) program.The method used was Research and Development with the ADDIE instructional design model (Analyze, Design, Develop, Implement and Evaluate), with development stages (concept, design, material collecting, assembly, testing and distribution). The results showed that the development of Hybrid Learning based on CAT application can be used in the Arabic Proficiency Test (APT) program which contains three language competency tests, (istima, tarakib and Qira’ah)

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Gershon, Richard C., Karon F. Cook, Dan Mungas, et al. "Language Measures of the NIH Toolbox Cognition Battery." Journal of the International Neuropsychological Society 20, no. 6 (2014): 642–51. http://dx.doi.org/10.1017/s1355617714000411.

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AbstractLanguage facilitates communication and efficient encoding of thought and experience. Because of its essential role in early childhood development, in educational achievement and in subsequent life adaptation, language was included as one of the subdomains in the NIH Toolbox for the Assessment of Neurological and Behavioral Function Cognition Battery (NIHTB-CB). There are many different components of language functioning, including syntactic processing (i.e., morphology and grammar) and lexical semantics. For purposes of the NIHTB-CB, two tests of language—a picture vocabulary test and

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LAURIER, MICHEL. "Évaluation et multimédia dans l’apprentissage d’une L2." ReCALL 16, no. 2 (2004): 475–87. http://dx.doi.org/10.1017/s0958344004001521.

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In the first part of this paper different areas where technology may be used for second language assessment are described. First, item banking operations, which are generally based on Item Response Theory but not necessarily restricted to dichotomously scored items, facilitate assessment task organization and require technological support. Second, technology may help to design more authentic assessment tasks or may be needed in some direct testing situations. Third, the assessment environment may be more adapted and more stimulating when technology is used to give the student more control. The

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Craik, Alexander, Juan José González-España, Ayman Alamir, et al. "Design and Validation of a Low-Cost Mobile EEG-Based Brain–Computer Interface." Sensors 23, no. 13 (2023): 5930. http://dx.doi.org/10.3390/s23135930.

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Objective: We designed and validated a wireless, low-cost, easy-to-use, mobile, dry-electrode headset for scalp electroencephalography (EEG) recordings for closed-loop brain–computer (BCI) interface and internet-of-things (IoT) applications. Approach: The EEG-based BCI headset was designed from commercial off-the-shelf (COTS) components using a multi-pronged approach that balanced interoperability, cost, portability, usability, form factor, reliability, and closed-loop operation. Main Results: The adjustable headset was designed to accommodate 90% of the population. A patent-pending self-posit

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Liu, Zhenpeng, Xianwei Yang, Shichen Zhang, Yi Liu, Yonggang Zhao, and Weihua Zheng. "Automatic Generation of Test Cases Based on Genetic Algorithm and RBF Neural Network." Mobile Information Systems 2022 (May 23, 2022): 1–9. http://dx.doi.org/10.1155/2022/1489063.

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Software testing plays an important role in improving the quality of software, but the design of test cases requires a lot of manpower, material resources, and time, and designers tend to be subjective when designing test cases. To solve this problem and make the test cases have objectivity and greater coverage, a branch coverage test case automatic generation method based on genetic algorithm and RBF neural network algorithm (GAR) is proposed. In terms of test case generation, based on the genetic algorithm optimized in this paper, a certain number of test case samples are randomly selected t

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Hsu, Chen-Fang, Tsair-Wei Chien, Julie Chi Chow, Yu-Tsen Yeh, and Willy Chou. "An App for Identifying Children at Risk for Developmental Problems Using Multidimensional Computerized Adaptive Testing: Development and Usability Study." JMIR Pediatrics and Parenting 3, no. 1 (2020): e14632. http://dx.doi.org/10.2196/14632.

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Background The use of multidomain developmental screening tools is a viable strategy for pediatric professionals to identify children at risk for developmental problems. However, a specialized multidimensional computer adaptive testing (MCAT) tool has not been developed to date. Objective We developed an app using MCAT, combined with Multidimensional Screening in Child Development (MuSiC) for toddlers, to help patients and their family members or clinicians identify developmental problems at an earlier stage. Methods We retrieved 75 item parameters from the MuSiC literature item bank for 1- to

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Park, Hee-Seon, Hee-Heon Song, and Seong-Whan Lee. "A Self-Organizing Hierarchical Classifier for Multi-Lingual Large-Set Oriental Character Recognition." International Journal of Pattern Recognition and Artificial Intelligence 12, no. 02 (1998): 191–208. http://dx.doi.org/10.1142/s0218001498000130.

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In this paper, we propose a practical scheme for multi-lingual, multi-font and multi-size large-set Oriental character recognition using a self-organizing hierarchical neural network classifier. In order to absorb the variation of the character shapes in multi-font and multi-size characters, a modified nonlinear shape normalization method based on dot density was introduced, and also to represent the different topological structures of multi-lingual characters effectively, a hierarchical feature extraction method was adopted. For coarse classification, a tree classifier and SOFM/LVQ based clas

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Hook, Julie, Cindy J. Nowinski, and Richard Gershon. "4 Continuum of Measurement: Reviewing the Advantages and Disadvantages of Self-Administered Remote Cognitive Tests and Their Examiner Administered Alternatives." Journal of the International Neuropsychological Society 29, s1 (2023): 782–83. http://dx.doi.org/10.1017/s1355617723009748.

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Objective:To describe advantages and disadvantages of using digital assessments remotely and in-person to inform clinical and research practice.Participants and Methods:As part of a larger study,1120 adults completed a battery of remotely administered tests (Mobile Toolbox) and a subset of this sample completed examiner administered in-person testing (NIH Toolbox® Cognition Battery). Attention was given to making the sample reflective of the US 2020 Census during participant recruitment. Of the 1120 participants, the majority of the sample were female (57%) and Caucasian (72%) and had a mean a

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McGwin, Madeleine, Pengsheng Ni, Khushbu Patel, et al. "29 Reliability Testing of the Preschool Life Impact Burn Recovery Evaluation Short Forms." Journal of Burn Care & Research 46, Supplement_1 (2025): S24—S25. https://doi.org/10.1093/jbcr/iraf019.029.

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Abstract Introduction The Preschool Life Impact Burn Recovery Evaluation (PS- LIBRE1-5) is a well-established psychometrically sound Computer Adaptive Test (CAT). Short forms (SF) were developed for dissemination in environments where platforms for administering CATs are not available. The aim of the present study is to assess the reliability the PS-LIBRE1-5 SFs within the target population of preschool children, 1 to 5 years, living with burn injuries. Methods There are eight PS-LIBRE1-5 domains; Physical Functioning, Communication and Language, Emotional Well-Being, Mood, Anxiety, Peer Relat

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L., Gonzales Christianne. "USER-CENTERED DEVELOPMENTAND EXPERIENCE EVALUATION OF A COMPUTER- ASSISTED SYSTEMFOR ICT CONTENT CREATIONIN SPECIAL NEEDS EDUCATIONAT SANTACRUZ INTEGRATED NATIONAL HIGH SCHOOL." international journal of advanced research in computer science 16, no. 3 (2025): 196–204. https://doi.org/10.26483/ijarcs.v16i3.7275.

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The study focuses on the user-centered development and experience evaluation of a computer-assisted system designed for ICT content creation in special needs education at Santa Cruz Integrated National High School. The primary objective is to enhance educational equity and inclusion by providing customized, engaging, and accessible educational content tailored to SNED (Special Needs Education) learners' unique needs. The research involves developing the tool, designing user-friendly instructional materials, assessing the tool’s effectiveness, and gathering data to improve teacher-student relat

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Xu, Katherine. "AI-Driven Personalized Fall Prevention for Older Adults." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 28 (2025): 29610–12. https://doi.org/10.1609/aaai.v39i28.35342.

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Falls among older adults pose a significant public health challenge, impacting quality of life and healthcare costs. This research proposal aims to develop an innovative AI-driven personalized fall prevention system for older adults, leveraging advanced machine learning techniques in computer vision, natural language processing, and reinforcement learning. The proposed system will encompass five key components: (1) Advanced pose estimation and activity recognition using HRNet with attention mechanisms and hybrid LSTM-GCN models; (2) Personalized risk assessment through multi-modal deep learnin

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Silanon, Kittasil. "Thai Finger-Spelling Recognition Using a Cascaded Classifier Based on Histogram of Orientation Gradient Features." Computational Intelligence and Neuroscience 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/9026375.

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Hand posture recognition is an essential module in applications such as human-computer interaction (HCI), games, and sign language systems, in which performance and robustness are the primary requirements. In this paper, we proposed automatic classification to recognize 21 hand postures that represent letters in Thai finger-spelling based on Histogram of Orientation Gradient (HOG) feature (which is applied with more focus on the information within certain region of the image rather than each single pixel) and Adaptive Boost (i.e., AdaBoost) learning technique to select the best weak classifier

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Wang, Ting, Brady D. Lund, Agostino Marengo, et al. "Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success." Applied Sciences 13, no. 11 (2023): 6716. http://dx.doi.org/10.3390/app13116716.

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International students face unique challenges in pursuing higher education in a foreign country. To address these challenges and enhance their academic experience, higher education institutions are increasingly exploring the use of artificial intelligence (AI) applications. This research essay aims to investigate the impact of AI on the education of international students. Instead of a traditional literature review, it employs a research approach to examine the potential applications of AI and discuss associated concerns. The research paper explores various AI applications, such as personalize

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Fox, R., J. Hook, M. J. Marquine, et al. "Reliability and Validity of the Spanish Language Measures of the NIH Toolbox Cognition Battery." Archives of Clinical Neuropsychology 34, no. 7 (2019): 1251. http://dx.doi.org/10.1093/arclin/acz029.18.

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Abstract Objective The NIH Toolbox for Assessment of Neurological and Behavioral Function (NIHTB) was developed under contract from the National Institutes of Health to create a set of easy-to-administer neuropsychological measures, for use across the lifespan (ages 3-85). The NIHTB Cognition Battery (NIHTB-CB) includes two language measures that were developed, calibrated, and normed separately in English and Spanish. This analysis presents the test-retest reliability and construct validity of the Spanish-language picture vocabulary test (S-PVT) and oral reading recognition test (S-ORRT) amon

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Fradkov, Alexander, and Nickolay Babich. "Three-Position Vehicle Control Based on Neural Interface Using Machine Learning." Informatics and Automation 24, no. 1 (2025): 5–29. https://doi.org/10.15622/ia.24.1.1.

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The brain-computer interface is a complex system that allows you to control external electronic devices using brain activity. This system includes several elements – a device for reading brain activity signals, a hardware and software complex that processes and analyzes these signals, and a control object. The main challenge here is the development of methods and algorithms that can correctly recognize and predict the intentions of the person who uses this interface to provide solutions to control problems. This paper describes the mathematical formulation of the equipment control problem. Met

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Kondratenko, Yuriy, Igor Atamanyuk, Ievgen Sidenko, Galyna Kondratenko, and Stanislav Sichevskyi. "Machine Learning Techniques for Increasing Efficiency of the Robot’s Sensor and Control Information Processing." Sensors 22, no. 3 (2022): 1062. http://dx.doi.org/10.3390/s22031062.

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Real-time systems are widely used in industry, including technological process control systems, industrial automation systems, SCADA systems, testing, and measuring equipment, and robotics. The efficiency of executing an intelligent robot’s mission in many cases depends on the properties of the robot’s sensor and control systems in providing the trajectory planning, recognition of the manipulated objects, adaptation of the desired clamping force of the gripper, obstacle avoidance, and so on. This paper provides an analysis of the approaches and methods for real-time sensor and control informat

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Xia, Xin, Yunlong Ma, Ye Luo, and Jianwei Lu. "An online intelligent electronic medical record system via speech recognition." International Journal of Distributed Sensor Networks 18, no. 11 (2022): 155013292211344. http://dx.doi.org/10.1177/15501329221134479.

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Traditional electronic medical record systems in hospitals rely on healthcare workers to manually enter patient information, resulting in healthcare workers having to spend a significant amount of time each day filling out electronic medical records. This inefficient interaction seriously affects the communication between doctors and patients and reduces the speed at which doctors can diagnose patients’ conditions. The rapid development of deep learning–based speech recognition technology promises to improve this situation. In this work, we build an online electronic medical record system base

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Fox, John, Matthew South, Omar Khan, Catriona Kennedy, Peter Ashby, and John Bechtel. "OpenClinical.net: Artificial intelligence and knowledge engineering at the point of care." BMJ Health & Care Informatics 27, no. 2 (2020): e100141. http://dx.doi.org/10.1136/bmjhci-2020-100141.

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ObjectiveOpenClinical.net is a way of disseminating clinical guidelines to improve quality of care whose distinctive feature is to combine the benefits of clinical guidelines and other human-readable material with the power of artificial intelligence to give patient-specific recommendations. A key objective is to empower healthcare professionals to author, share, critique, trial and revise these ‘executable’ models of best practice.DesignOpenClinical.net Alpha (www.openclinical.net) is an operational publishing platform that uses a class of artificial intelligence techniques called knowledge e

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Bulygina, Olga V., Denis D. Yartsev, Nikolay S. Kulyasov, and Margarita Yu Vorotilova. "Fuzzy bioinspired method for forming a set of candidates for linear positions." Journal Of Applied Informatics 20, no. 2 (2025): 4–23. https://doi.org/10.37791/2687-0649-2025-20-2-4-23.

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Line personnel occupy the vast majority of positions in many organizations, which determines the importance of timely and successful filling of such vacancies. The search for candidates for such positions is carried out through mass recruitment, which is characterized by high labor intensity, budgetary and time constraints, and the need for regular repetition due to high staff turnover rates. The noted features make it impossible to carry out this process without the use of modern software. Since mass recruitment does not require finding the best candidate for each vacancy and is limited to se

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