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Rutkowski, David; Rutkowski, Leslie; Flores, Charity – Educational Assessment, 2022
As more states move to universal computer-based assessments, an emergent issue concerns the effect that device type might have on student results. Although, several research studies have explored device effects, most of these studies focused on the differences between tablets and desktops/laptops. In the current study, we distinguish between…
Descriptors: Computer Assisted Testing, Computers, Laptop Computers, Handheld Devices
Mason, Robert; Huff, Kyle – International Journal of Social Research Methodology, 2019
This article explores the comparability of assessment tools under different format conditions. Prior studies have not considered the interaction of format and device on time to complete an assessment and have instead treated each of them separately with conflicting results. This study assesses, by linear regressions using web-based data, the…
Descriptors: Computer Assisted Testing, Test Format, Questionnaires, Usability
Shelley, Mack, Ed.; Akcay, Hakan, Ed.; Ozturk, Omer Tayfur, Ed. – International Society for Technology, Education, and Science, 2022
"Proceedings of International Conference on Research in Education and Science" includes full papers presented at the International Conference on Research in Education and Science (ICRES) which took place on March 24-27, 2022 in Antalya, Turkey. The aim of the conference is to offer opportunities to share ideas, to discuss theoretical and…
Descriptors: Educational Technology, Technology Uses in Education, Computer Peripherals, Equipment
Council of Chief State School Officers, 2020
Any body of research evolves over time. Previous understandings become more nuanced, ideas are supported or rebuked, and, eventually we arrive at a clearer view of the issue. The research on score comparability across computerized devices is no exception. CCSSO [Council of Chief State School Officers] and the Center for Assessment have published…
Descriptors: Computer Assisted Testing, Scores, Intermode Differences, Influence of Technology
Haan, Marieke; Lugtig, Peter; Toepoel, Vera – International Journal of Social Research Methodology, 2019
In this study, we investigate whether mobile device use in surveys can be predicted. We aim to identify possible motives for device use and build a model by drawing on theory from technology acceptance research and survey research. We then test this model with a Structural Equation Modeling approach using data of seven waves of the GESIS panel. We…
Descriptors: Telecommunications, Handheld Devices, Surveys, Intention
Dadey, Nathan; Lyons, Susan; DePascale, Charles – Applied Measurement in Education, 2018
Evidence of comparability is generally needed whenever there are variations in the conditions of an assessment administration, including variations introduced by the administration of an assessment on multiple digital devices (e.g., tablet, laptop, desktop). This article is meant to provide a comprehensive examination of issues relevant to the…
Descriptors: Evaluation Methods, Computer Assisted Testing, Educational Technology, Technology Uses in Education
Underwood, Catherine – Australian Council for Educational Research, 2016
The International Computer and Information Literacy Study (ICILS) is the first international comparative study that examines students' acquisition of computer and information literacy (CIL). The study assessed student CIL achievement in 18 countries and three benchmarking participants through a computer-based assessment administered to students in…
Descriptors: Computer Uses in Education, Internet, Computers, Foreign Countries
DePascale, Charlie; Dadey, Nathan; Lyons, Susan – Council of Chief State School Officers, 2016
The purpose of this document is to provide information and advice to support states in meeting USED Peer Review Requirements related to demonstrating the comparability of test scores across various devices used for technology-based testing. The document is divided into four main sections. In the first section, we discuss and define the…
Descriptors: Computer Assisted Testing, Scores, Intermode Differences, Influence of Technology
Gao, Niu – Public Policy Institute of California, 2015
In addition to the Common Core State Standards (CCSS), California is implementing a new, online assessment system: the California Assessment of Student Performance and Progress (CAASPP). Field tests were conducted last spring and the system is being rolled out this year, amid concerns about whether schools are technologically prepared. Using…
Descriptors: Online Courses, Educational Technology, Computer Assisted Testing, Technology Uses in Education
Davis, Laurie Laughlin; Kong, Xiaojing; McBride, Yuanyuan; Morrison, Kristin M. – Applied Measurement in Education, 2017
The definition of what it means to take a test online continues to evolve with the inclusion of a broader range of item types and a wide array of devices used by students to access test content. To assure the validity and reliability of test scores for all students, device comparability research should be conducted to evaluate the impact of…
Descriptors: Educational Technology, Technology Uses in Education, High School Students, Tests
Ababneh, Mohammad – ProQuest LLC, 2014
A dialog system or a conversational agent provides a means for a human to interact with a computer system. Dialog systems use text, voice and other means to carry out conversations with humans in order to achieve some objective. Most dialog systems are created with specific objectives in mind and consist of preprogrammed conversations. The primary…
Descriptors: Item Response Theory, Web 2.0 Technologies, Computer System Design, Intelligent Tutoring Systems
Rennie Center for Education Research & Policy, 2015
The potential use of computer-based assessments has raised concerns from educators, policymakers, and parents about information technology infrastructure in school districts and the preparation of staff and students to use new technologies for assessment purposes, and the potential impact of testing activities on core school functions,…
Descriptors: Computer Assisted Testing, Educational Assessment, School Districts, Case Studies
Tseng, Min-chen – Journal of Interactive Learning Research, 2014
This study investigated the online reading performances and the level of visual fatigue from the perspectives of non-native speaking students (NNSs). Reading on a computer screen is more visually more demanding than reading printed text. Online reading requires frequent saccadic eye movements and imposes continuous focusing and alignment demand.…
Descriptors: Reading Skills, Computers, Second Language Learning, Foreign Countries
Ling, Guangming – International Journal of Testing, 2016
To investigate possible iPad related mode effect, we tested 403 8th graders in Indiana, Maryland, and New Jersey under three mode conditions through random assignment: a desktop computer, an iPad alone, and an iPad with an external keyboard. All students had used an iPad or computer for six months or longer. The 2-hour test included reading, math,…
Descriptors: Educational Testing, Computer Assisted Testing, Handheld Devices, Computers
Newton, Caroline; Acres, Kadia; Bruce, Carolyn – American Journal of Speech-Language Pathology, 2013
Purpose: This study investigated whether computers are a useful tool in the assessment of people with aphasia (PWA). Computerized and traditionally administered versions of tasks were compared to determine whether (a) the scores were equivalent, (b) the administration was comparable, (c) variables such as age affected performance, and (d) the…
Descriptors: Language Tests, Computer Assisted Testing, Questionnaires, Aphasia

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