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Kim, Ahyoung Alicia; Tywoniw, Rurik L.; Chapman, Mark – Language Assessment Quarterly, 2022
Technology-enhanced items (TEIs) are innovative, computer-delivered test items that allow test takers to better interact with the test environment compared to traditional multiple-choice items (MCIs). The interactive nature of TEIs offer improved construct coverage compared with MCIs but little research exists regarding students' performance on…
Descriptors: Language Tests, Test Items, Computer Assisted Testing, English (Second Language)
Lynch, Kathleen; Lee, Monica; Loeb, Susanna – Annenberg Institute for School Reform at Brown University, 2022
The COVID-19 pandemic's impact on preschool children's school readiness skills remains understudied. This research investigates Head Start preschool children's early numeracy, literacy, and executive function outcomes during a pandemic-affected school year, using a novel virtual assessment methodology. Study children (N = 336; mean age = 51…
Descriptors: Preschool Education, Preschool Children, Low Income Groups, Federal Programs
Rassaei, Ehsan – Computer Assisted Language Learning, 2023
The main purpose of the present study is to propose a framework for implementing group dynamic assessment (DA) using students' smartphones for improving and assessing EFL learners' ability to produce well-formed and appropriate requests. This study focuses on five learner reciprocity moves during DA interactions to get deeper insights into the…
Descriptors: Computer Assisted Testing, Second Language Learning, Second Language Instruction, English (Second Language)
Park, Ryoungsun; Kim, Jiseon; Chung, Hyewon; Dodd, Barbara G. – Educational and Psychological Measurement, 2017
The current study proposes novel methods to predict multistage testing (MST) performance without conducting simulations. This method, called MST test information, is based on analytic derivation of standard errors of ability estimates across theta levels. We compared standard errors derived analytically to the simulation results to demonstrate the…
Descriptors: Testing, Performance, Prediction, Error of Measurement
Lippeveld, Marie; Oshima-Takane, Yuriko – Language Learning and Development, 2020
The cross-categorical use of nouns and verbs poses a challenging problem to young language learners because they are known to be less willing to accept that a single form of a word be used for more than one linguistic purpose (e.g., one-form/one-function principle). The present study investigated whether children under 3 years of age are able to…
Descriptors: Nouns, Verbs, Language Acquisition, Semantics
Akbay, Tuncer; Akbay, Lokman; Erol, Osman – Malaysian Online Journal of Educational Technology, 2021
Integration of e-learning and computerized assessments into many levels of educational programs has been increasing as digital technology progresses. Due to a handful of prominent advantages of computer-based-testing (CBT), a rapid transition in test administration mode from paper-based-testing (PBT) to CBT has emerged. Recently, many national and…
Descriptors: Computer Assisted Testing, Testing, High Stakes Tests, International Assessment
Gu, Lin; Ling, Guangming; Liu, Ou Lydia; Yang, Zhitong; Li, Guirong; Kardanova, Elena; Loyalka, Prashant – Assessment & Evaluation in Higher Education, 2021
We examine the effects of computer-based versus paper-based assessment of critical thinking skills, adapted from English (in the U.S.) to Chinese. Using data collected based on a random assignment between the two modes in multiple Chinese colleges, we investigate mode effects from multiple perspectives: mean scores, measurement precision, item…
Descriptors: Critical Thinking, Tests, Test Format, Computer Assisted Testing
Sahin, Alper; Ozbasi, Durmus – Eurasian Journal of Educational Research, 2017
Purpose: This study aims to reveal effects of content balancing and item selection method on ability estimation in computerized adaptive tests by comparing Fisher's maximum information (FMI) and likelihood weighted information (LWI) methods. Research Methods: Four groups of examinees (250, 500, 750, 1000) and a bank of 500 items with 10 different…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Test Content
Wang, Lu; Steedle, Jeffrey – ACT, Inc., 2020
In recent ACT mode comparability studies, students testing on laptop or desktop computers earned slightly higher scores on average than students who tested on paper, especially on the ACT® reading and English tests (Li et al., 2017). Equating procedures adjust for such "mode effects" to make ACT scores comparable regardless of testing…
Descriptors: Test Format, Reading Tests, Language Tests, English
Haus, Goffredo; Pasquinelli, Yuri Benvenuto; Scaccia, Daniela; Scarabottolo, Nello – International Association for Development of the Information Society, 2020
The paper deals with the problem of carrying on online written exams in the University of Milan, suddenly closed due to the Covid-19 emergency. Main goal of the paper is to present and compare the different scenarios envisioned, depending on the number of students to be monitored in parallel to avoid cheating. For limited numbers, direct…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Cheating
Alt, Mary; Arizmendi, Genesis Dominique; Gray, Shelley; Hogan, Tiffany Patrice; Green, Samuel; Cowan, Nelson – Journal of Speech, Language, and Hearing Research, 2019
Purpose: We compared novel word learning in 2nd-grade children with typical development who were Spanish-English bilinguals to English monolinguals to understand word learning in bilingual children. Method: Children (monolinguals n = 167, bilinguals n = 76) engaged in 5 computer-based tasks that assessed word learning in 6 different contexts. The…
Descriptors: Vocabulary Development, Monolingualism, Bilingualism, Spanish
Arnold, Sharon; Reed, Phil – British Journal of Special Education, 2019
Approximately 30% of school-aged individuals with autism spectrum disorder (ASD) are nonverbal (that is, they have little or no spontaneous spoken language). Most reading tests require verbalisation, which may under-estimate reading ability in this group. To determine decoding abilities of nonverbal children with ASD (with an age range of 72 to…
Descriptors: Word Recognition, Autism, Pervasive Developmental Disorders, Decoding (Reading)
Mizumoto, Atsushi; Sasao, Yosuke; Webb, Stuart A. – Language Testing, 2019
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…
Descriptors: Computer Assisted Testing, Adaptive Testing, College Students, English (Second Language)
Yoshioka, Sérgio R. I.; Ishitani, Lucila – Informatics in Education, 2018
Computerized Adaptive Testing (CAT) is now widely used. However, inserting new items into the question bank of a CAT requires a great effort that makes impractical the wide application of CAT in classroom teaching. One solution would be to use the tacit knowledge of the teachers or experts for a pre-classification and calibrate during the…
Descriptors: Student Motivation, Adaptive Testing, Computer Assisted Testing, Item Response Theory
Merrill, Trish – ProQuest LLC, 2018
Curriculum Based Measurements (CBM) are a widely-used tool for Response to Intervention (RTI) progress monitoring. In addition, they can be used in the determination of learning disabilities and special education qualification. The most widely used type of CBM is a measure of oral reading fluency (ORF). This type involves having a student read out…
Descriptors: Curriculum Based Assessment, Oral Reading, Reading Fluency, Comparative Analysis

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