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Gawliczek, Piotr; Krykun, Viktoriia; Tarasenko, Nataliya; Tyshchenko, Maksym; Shapran, Oleksandr – Advanced Education, 2021
The article deals with the innovative, cutting age solution within the language testing realm, namely computer adaptive language testing (CALT) in accordance with the NATO Standardization Agreement 6001 (NATO STANAG 6001) requirements for further implementation in foreign language training of personnel of the Armed Forces of Ukraine (AF of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Language Tests, Second Language Instruction
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Purpura, James E.; Davoodifard, Mashad; Voss, Erik – Language Assessment Quarterly, 2021
The online placement test for the Community English Language Program (CLP) at Teachers College, Columbia University has been administered in a computer lab since 2015. While most of the components of this placement exam system are online, including registration, exam delivery, scoring, and score reporting, the COVID-19 pandemic elevated the need…
Descriptors: Student Placement, Language Tests, Second Language Instruction, Second Language Learning
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Wind, Stefanie A.; Wolfe, Edward W.; Engelhard, George, Jr.; Foltz, Peter; Rosenstein, Mark – International Journal of Testing, 2018
Automated essay scoring engines (AESEs) are becoming increasingly popular as an efficient method for performance assessments in writing, including many language assessments that are used worldwide. Before they can be used operationally, AESEs must be "trained" using machine-learning techniques that incorporate human ratings. However, the…
Descriptors: Computer Assisted Testing, Essay Tests, Writing Evaluation, Scoring
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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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Konopka, Agnieszka E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Two experiments tracked the encoding of relational information (actions at the level of the prelinguistic message and verbs at the level of the sentence) during formulation of transitive event descriptions (e.g., The tiger is scratching the photographer). At what point during message and sentence formulation do speakers encode actions and verbs?…
Descriptors: Verbs, Language Processing, Psycholinguistics, Sentences
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Gerard, Libby; Kidron, Ady; Linn, Marcia C. – International Journal of Computer-Supported Collaborative Learning, 2019
This paper illustrates how the combination of teacher and computer guidance can strengthen collaborative revision and identifies opportunities for teacher guidance in a computer-supported collaborative learning environment. We took advantage of natural language processing tools embedded in an online, collaborative environment to automatically…
Descriptors: Computer Assisted Testing, Student Evaluation, Science Tests, Scoring
Miyamoto, Mayu – ProQuest LLC, 2019
Despite an emphasis on oral communication in most foreign language classrooms, the resource-intensive nature (i.e. time and manpower) of speaking tests hinder regular oral assessments. A possible solution is the development of a (semi-) automated scoring system. When it is used in conjunction with human raters, the consistency of computers can…
Descriptors: Second Language Learning, Speech Communication, Oral Language, Foreign Countries
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Sari, Elif; Han, Turgay – Reading Matrix: An International Online Journal, 2021
Providing both effective feedback applications and reliable assessment practices are two central issues in ESL/EFL writing instruction contexts. Giving individual feedback is very difficult in crowded classes as it requires a great amount of time and effort for instructors. Moreover, instructors likely employ inconsistent assessment procedures,…
Descriptors: Automation, Writing Evaluation, Artificial Intelligence, Natural Language Processing
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Correnti, Richard; Matsumura, Lindsay Clare; Wang, Elaine; Litman, Diane; Rahimi, Zahra; Kisa, Zahid – Reading Research Quarterly, 2020
Despite the importance of analytic text-based writing, relatively little is known about how to teach to this important skill. A persistent barrier to conducting research that would provide insight on best practices for teaching this form of writing is a lack of outcome measures that assess students' analytic text-based writing development and that…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Scoring
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Han, Chao; Xiao, Xiaoyan – Language Testing, 2022
The quality of sign language interpreting (SLI) is a gripping construct among practitioners, educators and researchers, calling for reliable and valid assessment. There has been a diverse array of methods in the extant literature to measure SLI quality, ranging from traditional error analysis to recent rubric scoring. In this study, we want to…
Descriptors: Comparative Analysis, Sign Language, Deaf Interpreting, Evaluators
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Wilson, Joshua; Wen, Huijing – Elementary School Journal, 2022
This study investigated fourth and fifth graders' metacognitive knowledge about writing and its relationship to writing performance to help identify areas that might be leveraged when designing effective writing instruction. Students' metacognitive knowledge was probed using a 30-minute informative writing prompt requiring students to teach their…
Descriptors: Elementary School Students, Metacognition, Writing Attitudes, Writing (Composition)
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Ben Seipel; Sarah E. Carlson; Virginia Clinton-Lisell; Mark L. Davison; Patrick C. Kennedy – Grantee Submission, 2022
Originally designed for students in Grades 3 through 5, MOCCA (formerly the Multiple-choice Online Causal Comprehension Assessment), identifies students who struggle with comprehension, and helps uncover why they struggle. There are many reasons why students might not comprehend what they read. They may struggle with decoding, or reading words…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Diagnostic Tests, Reading Tests
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
Beula M. Magimairaj; Philip Capin; Sandra L. Gillam; Sharon Vaughn; Greg Roberts; Anna-Maria Fall; Ronald B. Gillam – Language, Speech, and Hearing Services in Schools, 2022
Purpose: Our aim was to evaluate the psychometric properties of the online administered format of the Test of Narrative Language--Second Edition (TNL-2; Gillam & Pearson, 2017), given the importance of assessing children's narrative ability and considerable absence of psychometric studies of spoken language assessments administered online.…
Descriptors: Computer Assisted Testing, Language Tests, Story Telling, Language Impairments
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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
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