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Lopez, Alexis A.; Tolentino, Florencia – ETS Research Report Series, 2020
In this study we investigated how English learners (ELs) interacted with "®" summative English language arts (ELA) and mathematics items, the embedded online tools, and accessibility features. We focused on how EL students navigated the assessment items; how they selected or constructed their responses; how they interacted with the…
Descriptors: English Language Learners, Student Evaluation, Language Arts, Summative Evaluation
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Hussein, Mohammed Juned; Yusuf, Javed; Deb, Arpana Sandhya; Fong, Letila; Naidu, Som – Open Praxis, 2020
COVID-19 is hastening the adoption of online learning and teaching worldwide, and across all levels of education. While many of the typical learning and teaching transactions such as lecturing and communicating are easily handled by contemporary online learning technologies, others, such as assessment of learning outcomes with closed book…
Descriptors: Computer Assisted Testing, Computer Software Evaluation, Supervision, Distance Education
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Carpenter, Tara S.; Beall, Lisa Carter; Hodges, Linda C. – Journal of Teaching and Learning with Technology, 2020
An exam wrapper is a reflective exercise completed after an exam, designed to help foster students' metacognition and self-regulation. Typical exam wrappers ask students how they studied, what they missed and why, and how they would change their study behaviors to improve on the next exam. In small classes, exam wrappers can be administered as…
Descriptors: Metacognition, Feedback (Response), Integrated Learning Systems, Measures (Individuals)
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Christopoulos, Athanasios; Kajasilta, Henri; Salakoski, Tapio; Laakso, Mikko-Jussi – Journal of Educational Technology Systems, 2020
The vast development and expansion of educational technology has led to the deconstruction of various barriers and challenges that the traditional approaches were incapable of overcoming. However, a field that still holds a great deal of interest and needs to be strengthened concerns the practices that surround mathematics education. Digital…
Descriptors: Elementary School Mathematics, Mathematics Instruction, Educational Technology, Technology Uses in Education
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DeMara, Ronald F.; Bacanli, Salih S.; Bidoki, Neda; Xu, Jun; Nassiff, Edwin; Donnelly, Julie; Turgut, Damla – Journal of Educational Technology Systems, 2020
This research developed an approach to integrate the complementary benefits of digitized assessments and peer learning. Its basic premise and associated hypotheses are that by using student assessments of correct and incorrect quiz answers using a fine-grained resolution to pair them into remediation peer-learning cohorts is an effective means of…
Descriptors: Undergraduate Students, Engineering Education, Computer Assisted Testing, Pilot Projects
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Jayashankar, Shailaja; Sridaran, R. – Education and Information Technologies, 2017
Teachers are thrown open to abundance of free text answers which are very daunting to read and evaluate. Automatic assessments of open ended answers have been attempted in the past but none guarantees 100% accuracy. In order to deal with the overload involved in this manual evaluation, a new tool becomes necessary. The unique superlative model…
Descriptors: Word Frequency, Models, Electronic Learning, Student Evaluation
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Ockey, Gary J.; Gu, Lin; Keehner, Madeleine – Language Assessment Quarterly, 2017
A growing number of stakeholders argue for the use of second language (L2) speaking assessments that measure the ability to orally communicate in real time. A Web-based virtual environment (VE) that allows live voice communication among individuals may have potential for aiding in delivering such assessments. While off-the-shelf voice…
Descriptors: Speech Communication, Language Tests, Computer Assisted Testing, Computer Simulation
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Wise, Steven L. – Educational Measurement: Issues and Practice, 2017
The rise of computer-based testing has brought with it the capability to measure more aspects of a test event than simply the answers selected or constructed by the test taker. One behavior that has drawn much research interest is the time test takers spend responding to individual multiple-choice items. In particular, very short response…
Descriptors: Guessing (Tests), Multiple Choice Tests, Test Items, Reaction Time
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Zimmermann, Laura; Moser, Alecia; Lee, Herietta; Gerhardstein, Peter; Barr, Rachel – Child Development, 2017
This study examined the effect of a "ghost" demonstration on toddlers' imitation. In the "ghost" condition, virtual pieces moved to make a fish or boat puzzle. Fifty-two 2.5- and 3-year-olds were tested on a touchscreen (no transfer) or with 3D pieces (transfer); children tested with 3D pieces scored above a no demonstration…
Descriptors: Toddlers, Imitation, Computer Assisted Testing, Performance
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Bennett, Sue; Dawson, Phillip; Bearman, Margaret; Molloy, Elizabeth; Boud, David – British Journal of Educational Technology, 2017
A wide range of technologies has been developed to enhance assessment, but adoption has been inconsistent. This is despite assessment being critical to student learning and certification. To understand why this is the case and how it can be addressed, we need to explore the perspectives of academics responsible for designing and implementing…
Descriptors: College Faculty, Computer Assisted Testing, Teacher Attitudes, Interviews
Wang, Keyin – ProQuest LLC, 2017
The comparison of item-level computerized adaptive testing (CAT) and multistage adaptive testing (MST) has been researched extensively (e.g., Kim & Plake, 1993; Luecht et al., 1996; Patsula, 1999; Jodoin, 2003; Hambleton & Xing, 2006; Keng, 2008; Zheng, 2012). Various CAT and MST designs have been investigated and compared under the same…
Descriptors: Comparative Analysis, Computer Assisted Testing, Adaptive Testing, Test Items
Domagala, Jospeh F. – ProQuest LLC, 2017
Teachers in the classroom need to be able to modify instruction in a meaningful way that helps students to improve academically. School districts provide electronic assessment data which helps teachers identify areas for improvement within their instruction. Electronic performance assessment systems can be an effective means of assisting schools…
Descriptors: Elementary School Teachers, Computer Uses in Education, Educational Assessment, Computer Assisted Testing
Bukhari, Nurliyana – ProQuest LLC, 2017
In general, newer educational assessments are deemed more demanding challenges than students are currently prepared to face. Two types of factors may contribute to the test scores: (1) factors or dimensions that are of primary interest to the construct or test domain; and, (2) factors or dimensions that are irrelevant to the construct, causing…
Descriptors: Item Response Theory, Models, Psychometrics, Computer Simulation
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Wise, Steven L.; Kingsbury, G. Gage; Webb, Norman L. – Educational Measurement: Issues and Practice, 2015
The alignment between a test and the content domain it measures represents key evidence for the validation of test score inferences. Although procedures have been developed for evaluating the content alignment of linear tests, these procedures are not readily applicable to computerized adaptive tests (CATs), which require large item pools and do…
Descriptors: Computer Assisted Testing, Adaptive Testing, Alignment (Education), Test Content
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Zeng, Ji; Yin, Ping; Shedden, Kerby A. – Educational and Psychological Measurement, 2015
This article provides a brief overview and comparison of three matching approaches in forming comparable groups for a study comparing test administration modes (i.e., computer-based tests [CBT] and paper-and-pencil tests [PPT]): (a) a propensity score matching approach proposed in this article, (b) the propensity score matching approach used by…
Descriptors: Comparative Analysis, Computer Assisted Testing, Probability, Classification
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