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Ghio, Fernanda Belén; Bruzzone, Manuel; Rojas-Torres, Luis; Cupani, Marcos – European Journal of Science and Mathematics Education, 2022
In the last decades, the development of computerized adaptive testing (CAT) has allowed more precise measurements with a smaller number of items. In this study, we develop an item bank (IB) to generate the adaptive algorithm and simulate the functioning of CAT to assess the domains of mathematical knowledge in Argentinian university students…
Descriptors: Test Items, Item Banks, Adaptive Testing, Mathematics Tests
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Kachergis, George; Marchman, Virginia A.; Dale, Philip S.; Mankewitz, Jessica; Frank, Michael C. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Measuring the growth of young children's vocabulary is important for researchers seeking to understand language learning as well as for clinicians aiming to identify early deficits. The MacArthur-Bates Communicative Development Inventories (CDIs) are parent report instruments that offer a reliable and valid method for measuring early…
Descriptors: Computer Assisted Testing, Vocabulary Development, English, Spanish
Cole, Shelbi K.; Swanson, Carey – Smarter Balanced Assessment Consortium, 2022
Over the past few years, several states have begun to explore or pilot different through-year assessments to serve as replacements to the traditional end-of-year summative assessments that are currently the predominant source of information used by states to meet federal accountability requirements. While there are several different assessment…
Descriptors: Instructional Materials, Computer Assisted Testing, Adaptive Testing, Student Evaluation
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Hadjerrouit, Said; Nnagbo, Celestine Ifeanyi – International Association for Development of the Information Society, 2022
E-assessment systems such as Numbas are now widespread in mathematics education at the primary, secondary, and tertiary level. However, little is known about the affordances and constraints of Numbas in mathematics teacher education. The purpose of this study is to investigate the emergence, perception, and actualisation of Numbas affordances and…
Descriptors: Affordances, Barriers, Computer Assisted Testing, Mathematics Teachers
Virginia Clinton-Lisell; Terrill Taylor; Sarah E. Carlson; Mark L. Davison; Ben Seipel – Grantee Submission, 2022
Standardized reading assessments are often used as an admissions criterion for college admittance, however, the relationship and predictive validity of reading assessments to academic achievement remains in question. Through a quantitative review of the literature, we conducted a meta-analysis to examine how well performance on college reading…
Descriptors: Reading Achievement, Reading Comprehension, Reading Tests, Academic Achievement
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Virginia Clinton-Lisell; Terrill Taylor; Sarah E. Carlson; Mark L. Davison; Ben Seipel – Journal of College Reading and Learning, 2022
Reading comprehension assessments are used for postsecondary course placement and advising, and they are components of college entrance exams. Therefore, a quantitative understanding of the relationship between reading comprehension assessments and postsecondary academic achievement is needed. To address this need, we conducted a meta-analysis to…
Descriptors: Reading Achievement, Reading Comprehension, Reading Tests, Academic Achievement
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David W. Franklin; Jason Bryer; Angela M. Lui; Heidi L. Andrade; Diana Akhmedjanova – Online Learning, 2022
The purpose of this study is to examine the effects of nudges on online college students' use of the Diagnostic Assessment and Achievement of College Skills (DAACS), a suite of free, online assessments, feedback, and resources designed to optimize student success in college. The results indicate that the nudges had an effect on students'…
Descriptors: Undergraduate Students, Educational Diagnosis, Academic Achievement, Academic Ability
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National Assessment of Educational Progress (NAEP), 2025
Also known as The Nation's Report Card, the National Assessment of Educational Progress (NAEP) is the largest nationally representative and continuing assessment of student achievement and their learning experiences in various subjects for the nation, states, and 27 urban districts. The National Center for Education Statistics (NCES) is currently…
Descriptors: National Competency Tests, Innovation, Futures (of Society), Achievement Tests
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Carol A. Britson; James E. Clark; Chinenye Anako; Rachel Hopp; Heather Armbruster; Chris Kule; Jeff Huffman; Kathleen Ahles – HAPS Educator, 2025
In this third and final manuscript from the Human Anatomy and Physiology Society (HAPS) 2022 Lab Survey we document the efforts of Human Anatomy and Physiology (A&P) educators in response to the COVID-19 global pandemic. Institutional, instructional, and student demographics, and laboratory activities and learning outcomes were the focus of…
Descriptors: Anatomy, Physiology, Science Instruction, Science Laboratories
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Aekkalak Ratraikit; Chulida Hemtasin; Tawan Thongsuk; Wisarut Payoungkiattikun – Asian Journal of Contemporary Education, 2025
This action research aimed to enhance fluency thinking in the Year 9 Science and Technology course on Genetics by integrating bell ringer exams with inquiry-based learning. The study's objectives were to achieve an 80% pass rate in fluency thinking and to assess student satisfaction with this pedagogical approach. The sample comprised 20 Year 9…
Descriptors: High School Students, High School Teachers, Science Instruction, Genetics
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Amal Iaaly; Patrick Daou; Mantoura Nakad; Rami J. Abboud – Education and Information Technologies, 2025
This paper reports on a participatory case study investigating the total shift to an electronic assessment and electronic proctoring modality in a traditional higher education academic institution in Lebanon due to the COVID-19 pandemic. It describes the novel real-time electronic assessment and proctoring system developed by the University of…
Descriptors: Supervision, COVID-19, Pandemics, Systems Approach
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Angxuan Chen; Yuyue Zhang; Jiyou Jia; Min Liang; Yingying Cha; Cher Ping Lim – Journal of Computer Assisted Learning, 2025
Background: Language assessment plays a pivotal role in language education, serving as a bridge between students' understanding and educators' instructional approaches. Recently, advancements in Artificial Intelligence (AI) technologies have introduced transformative possibilities for automating and personalising language assessments. Objectives:…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing, Language Tests
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Jennifer L. Reynolds; Kathleen B. Aspiranti; Erin E. C. Henze; Lauren M. Kall – Contemporary School Psychology, 2025
Technology in education is used to support and supplement core instruction, to help students stay engaged, and assist teachers with academic assessments. While there is support in the use of technology in instruction and intervention, researchers still urge caution when using it in assessment. Current evidence suggests that students perform…
Descriptors: Technology Uses in Education, Tablet Computers, Evaluation Methods, Computer Assisted Testing
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Maria Aristeidou; Simon Cross; Klaus-Dieter Rossade; Carlton Wood; Terri Rees; Patrizia Paci – Journal of Computer Assisted Learning, 2024
Background: Research into online exams in higher education has grown significantly, especially as they became common practice during the COVID-19 pandemic. However, previous studies focused on understanding individual factors that relate to students' dispositions towards online exams in 'traditional' universities. Moreover, there is little…
Descriptors: Higher Education, Computer Assisted Testing, COVID-19, Pandemics
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Christina Hubertina Helena Maria Heemskerk; Claudia M. Roebers – Journal of Cognition and Development, 2024
Young children tend to rely on reactive cognitive control (e.g. strongly slow down after an error), even when task accuracy would benefit from proactive cognitive control (taking a slower task approach up front). We investigated if giving young primary school children opportunities to repeatedly experience tasks where success rates depend on…
Descriptors: Cognitive Ability, Reaction Time, Accuracy, Feedback (Response)
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