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Jennifer Francois – ProQuest LLC, 2021
While recent research has shown that multimodal feedback and use of formulaic sequences (FS) are effective in improving student performance on writing tasks, there is a dearth of studies on the impact of these aspects on computer-based academic speaking assessments. This dissertation seeks to fill this gap by examining the impact of both…
Descriptors: Language Tests, Computer Assisted Testing, Second Language Learning, Second Language Instruction
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Huang, Ophelia H. L. – International Education Studies, 2022
This study employed a blended learning approach to investigate 98 medical university EFL students' perceptions and analyzed the learning trajectory of their LMOOCs in formal education. Meanwhile, Byram's (1997) intercultural communicative competence (ICC) model was adopted to explore if students' English proficiency and ICC abilities could enhance…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, MOOCs
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von Wangenheim, Christiane Gresse; Hauck, Jean C. R.; Demetrio, Matheus Faustino; Pelle, Rafael; da Cruz Alves, Nathalia; Barbosa, Heliziane; Azevedo, Luiz Felipe – Informatics in Education, 2018
The development of computational thinking is a major topic in K-12 education. Many of these experiences focus on teaching programming using block-based languages. As part of these activities, it is important for students to receive feedback on their assignments. Yet, in practice it may be difficult to provide personalized, objective and consistent…
Descriptors: Programming Languages, Programming, Grading, Outcome Measures
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Egbert, Jesse – Language Testing, 2017
The use of corpora and corpus linguistic methods in language testing research is increasing at an accelerated pace. The growing body of language testing research that uses corpus linguistic data is a testament to their utility in test development and validation. Although there are many reasons to be optimistic about the future of using corpus data…
Descriptors: Language Tests, Second Language Learning, Computational Linguistics, Best Practices
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Jiao, Yishan; LaCross, Amy; Berisha, Visar; Liss, Julie – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Subjective speech intelligibility assessment is often preferred over more objective approaches that rely on transcript scoring. This is, in part, because of the intensive manual labor associated with extracting objective metrics from transcribed speech. In this study, we propose an automated approach for scoring transcripts that provides…
Descriptors: Suprasegmentals, Phonemes, Error Patterns, Scoring
New York State Education Department, 2020
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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Hannah, L.; Kim, H.; Jang, E. E. – Language Assessment Quarterly, 2022
As a branch of artificial intelligence, automated speech recognition (ASR) technology is increasingly used to detect speech, process it to text, and derive the meaning of natural language for various learning and assessment purposes. ASR inaccuracy may pose serious threats to valid score interpretations and fair score use for all when it is…
Descriptors: Task Analysis, Artificial Intelligence, Speech Communication, Audio Equipment
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Aybek, Eren Can; Demirtasli, R. Nukhet – International Journal of Research in Education and Science, 2017
This article aims to provide a theoretical framework for computerized adaptive tests (CAT) and item response theory models for polytomous items. Besides that, it aims to introduce the simulation and live CAT software to the related researchers. Computerized adaptive test algorithm, assumptions of item response theory models, nominal response…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Test Items
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Breyer, F. Jay; Rupp, André A.; Bridgeman, Brent – ETS Research Report Series, 2017
In this research report, we present an empirical argument for the use of a contributory scoring approach for the 2-essay writing assessment of the analytical writing section of the "GRE"® test in which human and machine scores are combined for score creation at the task and section levels. The approach was designed to replace a currently…
Descriptors: College Entrance Examinations, Scoring, Essay Tests, Writing Evaluation
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Davis, Laurie; Morrison, Kristin; Kong, Xiaojing; McBride, Yuanyuan – Educational Measurement: Issues and Practice, 2017
The use of tablets for large-scale testing programs has transitioned from concept to reality for many state testing programs. This study extended previous research on score comparability between tablets and computers with high school students to compare score distributions across devices for reading, math, and science and to evaluate device…
Descriptors: Computer Assisted Testing, Handheld Devices, Telecommunications, Scoring
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Herget, Debbie; Dalton, Ben; Kinney, Saki; Smith, W. Zachary; Wilson, David; Rogers, Jim – National Center for Education Statistics, 2019
The Progress in International Reading Literacy Study (PIRLS) is an international comparative study of student performance in reading literacy at the fourth grade. PIRLS 2016 marks the fourth iteration of the study, which has been conducted every 5 years since 2001. New to the PIRLS assessment in 2016, ePIRLS provides a computer-based extension to…
Descriptors: Achievement Tests, Grade 4, Reading Achievement, Foreign Countries
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Ma, Hong; Slater, Tammy – CALICO Journal, 2016
This study utilized a theory proposed by Mohan, Slater, Luo, and Jaipal (2002) regarding the Developmental Path of Cause to investigate AWE score use in classroom contexts. This "path" has the potential to support validity arguments because it suggests how causal linguistic features can be organized in hierarchical order. Utilization of…
Descriptors: Scores, Automation, Writing Evaluation, Computer Assisted Testing
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Evanini, Keelan; Hauck, Maurice Cogan; Hakuta, Kenji – ETS Research Report Series, 2017
This report is the fifth in a series concerning English language proficiency (ELP) assessments for English learners (ELs) in kindergarten through 12th grade in the United States. The series, produced by Educational Testing Service (ETS), is intended to provide theory and evidence-based principles and recommendations for improving next-generation…
Descriptors: Computer Assisted Testing, Language Tests, English Language Learners, Elementary Secondary Education
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Liu, Ming; Wang, Yuqi; Xu, Weiwei; Liu, Li – International Journal of Distance Education Technologies, 2017
The number of Chinese engineering students has increased greatly since 1999. Rating the quality of these students' English essays has thus become time-consuming and challenging. This paper presents a novel automatic essay scoring algorithm called PSOSVR, based on a machine learning algorithm, Support Vector Machine for Regression (SVR), and a…
Descriptors: Essays, English (Second Language), College Second Language Programs, Engineering Education
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Ackerman, Debra J. – ETS Research Report Series, 2020
Over the past 8 years, U.S. kindergarten classrooms have been impacted by policies mandating or recommending the administration of a specific kindergarten entry assessment (KEA) in the initial months of school as well as the increasing reliance on digital technology in the form of mobile apps, touchscreen devices, and online data platforms. Using…
Descriptors: Kindergarten, School Readiness, Computer Assisted Testing, Preschool Teachers
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