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Sieke, Scott A.; McIntosh, Betsy B.; Steele, Matthew M.; Knight, Jennifer K. – CBE - Life Sciences Education, 2019
Understanding student ideas in large-enrollment biology courses can be challenging, because easy-to-administer multiple-choice questions frequently do not fully capture the diversity of student ideas. As part of the Automated Analysis of Constructed Responses (AACR) project, we designed a question prompting students to describe the possible…
Descriptors: Genetics, Scientific Concepts, Biology, Science Instruction
New York State Education Department, 2021
The instructions in this manual explain the responsibilities of school administrators for the New York State Testing Program (NYSTP) Grades 3-8 English Language Arts and Mathematics Tests. School administrators must be thoroughly familiar with the contents of the manual, and the policies and procedures must be followed as written so that testing…
Descriptors: Testing Programs, Mathematics Tests, Test Format, Computer Assisted Testing
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Kirsch, Irwin; Lennon, Mary Louise – Large-scale Assessments in Education, 2017
As the largest and most innovative international assessment of adults, PIAAC marks an inflection point in the evolution of large-scale comparative assessments. PIAAC grew from the foundation laid by surveys that preceded it, and introduced innovations that have shifted the way we conceive and implement large-scale assessments. As the first fully…
Descriptors: International Assessment, Adults, Measurement, Surveys
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Toroujeni, Seyyed Morteza Hashemi – Education and Information Technologies, 2022
Score interchangeability of Computerized Fixed-Length Linear Testing (henceforth CFLT) and Paper-and-Pencil-Based Testing (henceforth PPBT) has become a controversial issue over the last decade when technology has meaningfully restructured methods of the educational assessment. Given this controversy, various testing guidelines published on…
Descriptors: Computer Assisted Testing, Reading Tests, Reading Comprehension, Scoring
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Cohen, Yoav; Levi, Effi; Ben-Simon, Anat – Applied Measurement in Education, 2018
In the current study, two pools of 250 essays, all written as a response to the same prompt, were rated by two groups of raters (14 or 15 raters per group), thereby providing an approximation to the essay's true score. An automated essay scoring (AES) system was trained on the datasets and then scored the essays using a cross-validation scheme. By…
Descriptors: Test Validity, Automation, Scoring, Computer Assisted Testing
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Santamaría Lancho, Miguel; Hernández, Mauro; Sánchez-Elvira Paniagua, Ángeles; Luzón Encabo, José María; de Jorge-Botana, Guillermo – Journal of Interactive Media in Education, 2018
Formative assessment and personalised feedback are commonly recognised as key factors both for improving students' performance and increasing their motivation and engagement (Gibbs and Simpson, 2005). Currently, in large and massive open online courses (MOOCs), technological solutions to give feedback are often limited to quizzes of different…
Descriptors: Online Courses, Formative Evaluation, Scoring, Feedback (Response)
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Suendermann-Oeft, David; Ramanarayanan, Vikram; Yu, Zhou; Qian, Yao; Evanini, Keelan; Lange, Patrick; Wang, Xinhao; Zechner, Klaus – ETS Research Report Series, 2017
We present work in progress on a multimodal dialog system for English language assessment using a modular cloud-based architecture adhering to open industry standards. Among the modules being developed for the system, multiple modules heavily exploit machine learning techniques, including speech recognition, spoken language proficiency rating,…
Descriptors: Language Tests, Computer Assisted Testing, Artificial Intelligence, English (Second Language)
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Rupp, André A.; Casabianca, Jodi M.; Krüger, Maleika; Keller, Stefan; Köller, Olaf – ETS Research Report Series, 2019
In this research report, we describe the design and empirical findings for a large-scale study of essay writing ability with approximately 2,500 high school students in Germany and Switzerland on the basis of 2 tasks with 2 associated prompts, each from a standardized writing assessment whose scoring involved both human and automated components.…
Descriptors: Automation, Foreign Countries, English (Second Language), Language Tests
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Yao, Lili; Haberman, Shelby J.; Zhang, Mo – ETS Research Report Series, 2019
Many assessments of writing proficiency that aid in making high-stakes decisions consist of several essay tasks evaluated by a combination of human holistic scores and computer-generated scores for essay features such as the rate of grammatical errors per word. Under typical conditions, a summary writing score is provided by a linear combination…
Descriptors: Prediction, True Scores, Computer Assisted Testing, Scoring
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Eckerly, Carol; Smith, Russell; Sowles, John – Practical Assessment, Research & Evaluation, 2018
The Discrete Option Multiple Choice (DOMC) item format was introduced by Foster and Miller (2009) with the intent of improving the security of test content. However, by changing the amount and order of the content presented, the test taking experience varies by test taker, thereby introducing potential fairness issues. In this paper we…
Descriptors: Culture Fair Tests, Multiple Choice Tests, Testing, Test Items
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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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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
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
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Zimmerman, Whitney Alicia; Kang, Hyun Bin; Kim, Kyung; Gao, Mengzhao; Johnson, Glenn; Clariana, Roy; Zhang, Fan – Journal of Statistics Education, 2018
Over two semesters short essay prompts were developed for use with the Graphical Interface for Knowledge Structure (GIKS), an automated essay scoring system. Participants were students in an undergraduate-level online introductory statistics course. The GIKS compares students' writing samples with an expert's to produce keyword occurrence and…
Descriptors: Undergraduate Students, Introductory Courses, Statistics, Computer Assisted Testing
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Isaacs, Talia – Language Assessment Quarterly, 2018
This article brings to the fore trends in second language (L2) pronunciation research, teaching, and assessment by highlighting the ways in which pronunciation instructional priorities and assessment targets have shifted over time, social dimensions that, although presented in a different guise, appear to have remained static, and principles in…
Descriptors: Second Language Instruction, Pronunciation Instruction, Educational Trends, Student Educational Objectives
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