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Showing 1 to 15 of 95 results Save | Export
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Ormerod, Christopher; Lottridge, Susan; Harris, Amy E.; Patel, Milan; van Wamelen, Paul; Kodeswaran, Balaji; Woolf, Sharon; Young, Mackenzie – International Journal of Artificial Intelligence in Education, 2023
We introduce a short answer scoring engine made up of an ensemble of deep neural networks and a Latent Semantic Analysis-based model to score short constructed responses for a large suite of questions from a national assessment program. We evaluate the performance of the engine and show that the engine achieves above-human-level performance on a…
Descriptors: Computer Assisted Testing, Scoring, Artificial Intelligence, Semantics
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Dorsey, David W.; Michaels, Hillary R. – Journal of Educational Measurement, 2022
We have dramatically advanced our ability to create rich, complex, and effective assessments across a range of uses through technology advancement. Artificial Intelligence (AI) enabled assessments represent one such area of advancement--one that has captured our collective interest and imagination. Scientists and practitioners within the domains…
Descriptors: Validity, Ethics, Artificial Intelligence, Evaluation Methods
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Brandon J. Yik; David G. Schreurs; Jeffrey R. Raker – Journal of Chemical Education, 2023
Acid-base chemistry, and in particular the Lewis acid-base model, is foundational to understanding mechanistic ideas. This is due to the similarity in language chemists use to describe Lewis acid-base reactions and nucleophile-electrophile interactions. The development of artificial intelligence and machine learning technologies has led to the…
Descriptors: Educational Technology, Formative Evaluation, Molecular Structure, Models
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Gardner, John; O'Leary, Michael; Yuan, Li – Journal of Computer Assisted Learning, 2021
Artificial Intelligence is at the heart of modern society with computers now capable of making process decisions in many spheres of human activity. In education, there has been intensive growth in systems that make formal and informal learning an anytime, anywhere activity for billions of people through online open educational resources and…
Descriptors: Artificial Intelligence, Educational Assessment, Formative Evaluation, Summative Evaluation
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Richardson, Mary; Clesham, Rose – London Review of Education, 2021
Our world has been transformed by technologies incorporating artificial intelligence (AI) within mass communication, employment, entertainment and many other aspects of our daily lives. However, within the domain of education, it seems that our ways of working and, particularly, assessing have hardly changed at all. We continue to prize…
Descriptors: Artificial Intelligence, High Stakes Tests, Computer Assisted Testing, Educational Change
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DiCerbo, Kristen – Educational Measurement: Issues and Practice, 2020
We have the ability to capture data from students' interactions with digital environments as they engage in learning activity. This provides the potential for a reimagining of assessment to one in which assessment become part of our natural education activity and can be used to support learning. These new data allow us to more closely examine the…
Descriptors: Student Diversity, Information Technology, Learning Activities, Learning Processes
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Moncaleano, Sebastian; Russell, Michael – Journal of Applied Testing Technology, 2018
2017 marked a century since the development and administration of the first large-scale group administered standardized test. Since that time, both the importance of testing and the technology of testing have advanced significantly. This paper traces the technological advances that have led to the large-scale administration of educational tests in…
Descriptors: Technological Advancement, Standardized Tests, Computer Assisted Testing, Automation
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Qin, Tianyu; Zhang, Jie – Journal of Cognitive Education and Psychology, 2018
Dynamic assessment (DA) has been implemented to diagnose language-related issues and to promote second language (L2) learners' development through intervention (Poehner, 2008). The goal is to evaluate not only what a learner can do on his or her own but also how far he or she can go with instructional intervention. Recently, scholars have…
Descriptors: Student Evaluation, Computer Assisted Testing, Second Language Learning, College Students
National Academies Press, 2022
The National Assessment of Educational Progress (NAEP) -- often called "The Nation's Report Card" -- is the largest nationally representative and continuing assessment of what students in public and private schools in the United States know and can do in various subjects and has provided policy makers and the public with invaluable…
Descriptors: Costs, Futures (of Society), National Competency Tests, Educational Trends
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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
Nebraska Department of Education, 2020
The Spring 2020 Nebraska Student-Centered Assessment System (NSCAS) General Summative testing was cancelled due to COVID-19. This technical report documents the processes and procedures that had been implemented to support the Spring 2020 assessments prior to the cancellation. The following sections are presented in this technical report: (1)…
Descriptors: English, Language Arts, Mathematics Tests, Science Tests
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Behizadeh, Nadia; Lynch, Tom Liam – Berkeley Review of Education, 2017
For the last century, the quality of large-scale assessment in the United States has been undermined by narrow educational theory and hindered by limitations in technology. As a result, poor assessment practices have encouraged low-level instructional practices that disparately affect students from the most disadvantaged communities and schools.…
Descriptors: Equal Education, Measurement, Educational Theories, Evaluation Methods
Nebraska Department of Education, 2019
This technical report documents the processes and procedures implemented to support the Spring 2019 Nebraska Student-Centered Assessment System (NSCAS) General Summative English Language Arts (ELA), Mathematics, and Science assessments by NWEA® under the supervision of the Nebraska Department of Education (NDE). The technical report shows how the…
Descriptors: English, Language Arts, Summative Evaluation, Mathematics Tests
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Bennett, Randy Elliot – Review of Research in Education, 2015
On the surface, this chapter concerns the evolution of educational assessment from a paper-based technology to an electronic one. On a deeper level, that evolution is more substantive. In the first section of this chapter, those stages are briefly described and used to place the new generation of assessments being created by the two comprehensive…
Descriptors: Educational Assessment, Electronic Learning, State Standards, Academic Standards
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Wolf, Mikyung Kim; Guzman-Orth, Danielle; Lopez, Alexis; Castellano, Katherine; Himelfarb, Igor; Tsutagawa, Fred S. – Educational Assessment, 2016
This article investigates ways to improve the assessment of English learner students' English language proficiency given the current movement of creating next-generation English language proficiency assessments in the Common Core era. In particular, this article discusses the integration of scaffolding strategies, which are prevalently utilized as…
Descriptors: English Language Learners, Scaffolding (Teaching Technique), Language Tests, Language Proficiency
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