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Harley, Jason M.; Lou, Nigel Mantou; Liu, Yang; Cutumisu, Maria; Daniels, Lia M.; Leighton, Jacqueline P.; Nadon, Lindsey – Assessment & Evaluation in Higher Education, 2021
Although the effectiveness and experiences of computer-based examinations is a widely investigated area of research, the question of whether and how computer-based assessment limits or heightens the experience of negative test emotions remains largely unexamined. Drawing from the control-value theory of achievement emotions, we investigated…
Descriptors: Psychological Patterns, Negative Attitudes, Computer Assisted Testing, Undergraduate Students
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Missaoui, Siwar; Maalel, Ahmed – Education and Information Technologies, 2021
A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…
Descriptors: Profiles, Models, Computer Games, Cognitive Style
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Jiang, Yang; Gong, Tao; Saldivia, Luis E.; Cayton-Hodges, Gabrielle; Agard, Christopher – Large-scale Assessments in Education, 2021
In 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to…
Descriptors: Data Use, Learning Analytics, Test Items, Measurement
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Miller, Ronald Mellado; Andrade, Maureen Snow – Research & Practice in Assessment, 2020
Technology use is increasing in higher education, particularly for test administration. In this study, Capaldi's (1994) sequential theory, which postulates that the specific order of reinforcements and nonreinforcements influences persistence in the face of difficulty or failure, was applied to online multiple choice testing situations in regard…
Descriptors: Computer Assisted Testing, Higher Education, Multiple Choice Tests, Test Format
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White, Jonathon David – Physics Education, 2020
COVID-19 has upset the traditional ways of teaching and looks set to continue to have an impact in the coming years. The situation in Taiwan--partial disruption and then an early return to classes--allows for a comparison of student performance in a conventional teaching and testing environment with the non-contact teaching/testing environment…
Descriptors: Physics, Science Instruction, COVID-19, Pandemics
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Taikh, Alexander; Lupker, Stephen J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Considerable research effort has been devoted to investigating semantic priming effects, particularly, the locus of those effects. Semantically related primes might activate their target's lexical representation (through automatic spreading activation at short stimulus onset asynchronies (SOAs), or through generation of words expected to follow…
Descriptors: Semantics, Cues, Priming, Language Processing
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Jewsbury, Paul A.; van Rijn, Peter W. – Journal of Educational and Behavioral Statistics, 2020
In large-scale educational assessment data consistent with a simple-structure multidimensional item response theory (MIRT) model, where every item measures only one latent variable, separate unidimensional item response theory (UIRT) models for each latent variable are often calibrated for practical reasons. While this approach can be valid for…
Descriptors: Item Response Theory, Computation, Test Items, Adaptive Testing
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Wilhelm-Chapin, Mary K.; Koszalka, Tiffany A. – TechTrends: Linking Research and Practice to Improve Learning, 2020
This study focused on student-content interactions and engagement in an online graduate course. Student descriptions of their experiences and learning processes in relation to digital course resources were examined to understand how and why resources were used. Fourteen students provided detailed explanations of their use and perceived value of…
Descriptors: Graduate Students, Online Courses, Educational Resources, Electronic Publishing
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Ng, Emily – International Journal of Adult Education and Technology, 2020
The resources and time constraints of assessing large classes are always weighed up against the validity, reliability, and learning outcomes of the assessment tasks. With the digital revolution in the 21st Century, educators can benefit from computer technology to carry out a large-scale assessment in higher education more efficiently. In this…
Descriptors: Nursing Students, Computer Assisted Testing, Student Evaluation, Multiple Choice Tests
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Moon, Jung Aa; Sinharay, Sandip; Keehner, Madeleine; Katz, Irvin R. – International Journal of Testing, 2020
The current study examined the relationship between test-taker cognition and psychometric item properties in multiple-selection multiple-choice and grid items. In a study with content-equivalent mathematics items in alternative item formats, adult participants' tendency to respond to an item was affected by the presence of a grid and variations of…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Test Wiseness, Psychometrics
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Yerushalmy, Michal; Olsher, Shai – ZDM: The International Journal on Mathematics Education, 2020
We argue that examples can do more than serve the purpose of illustrating the truth of an existential statement or disconfirming the truth of a universal statement. Our argument is relevant to the use of technology in classroom assessment. A central challenge of computer-assisted assessment is to develop ways of collecting rich and complex data…
Descriptors: Computer Assisted Testing, Student Evaluation, Problem Solving, Thinking Skills
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Xiong-Skiba, P.; Buckner, S.; Little, C.; Kovalskiy, A. – Physics Teacher, 2020
This paper reports our work on replacing lab report grading by post-online lab quizzes using Desire2Learn (D2L, an online course management software), specifically, how we circumvent some of the limitations imposed by D2L and the outcomes.
Descriptors: Grading, Physics, Science Tests, Computer Assisted Testing
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Smith, Chad; Allman, Tamby – Psychology in the Schools, 2020
The purpose of this article is to support members of a student's multidisciplinary team to identify complex factors involved in providing valid classroom-based assessment data, including issues surrounding technology-based assessment for students who are deaf or hard of hearing (DHH). The diversity of this population creates unique challenges in…
Descriptors: Deafness, Hearing Impairments, Student Evaluation, Computer Assisted Testing
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Kusairi, Sentot – Journal of Technology and Science Education, 2020
Formative feedback plays an important role in assisting students in their learning process. However, administering information about student weaknesses and strengths is one of the challenges faced by teachers when implementing formative assessment. This study aims to develop a web-based formative feedback system that is able to provide specific…
Descriptors: Student Evaluation, Formative Evaluation, Feedback (Response), Computer Assisted Testing
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Touw, Kirsten W. J.; Vogelaar, Bart; Thissen, Floor; Rovers, Sanne; Resing, Wilma C. M. – British Journal of Educational Psychology, 2020
Background: The need to focus more on children's abilities to change requires new assessment technologies in education. Process-oriented assessment can be useful in this regard. Dynamic testing has the potential to provide in-depth information about children's learning processes and cognitive abilities. Aim: This study implemented a…
Descriptors: Individual Differences, Alternative Assessment, Computer Assisted Testing, Learning Processes
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