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Barry O'Sullivan – Language Assessment Quarterly, 2023
This paper highlights as issues of concern the rapid changes in technology and the tendency to report on partial validation efforts where the work is not identified as forming part of a larger validation project. With close human supervision emerging technologies can have a significant and positive impact on language testing. While technology…
Descriptors: Technology Uses in Education, Computer Assisted Testing, Language Tests, Supervision
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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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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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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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Guzman-Orth, Danielle A.; Lopez, Alexis A.; Tolentino, Florencia – Language Assessment Quarterly, 2019
The purpose of this study was to create and prototype a dual language assessment task that allows young English learners to use their entire cadre of linguistic resources (language and non-verbal resources) to obtain information about their emergent language abilities. We developed a dual language assessment task in which students described a…
Descriptors: Bilingualism, English Language Learners, Language Tests, Task Analysis
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Aviad-Levitzky, Tami; Laufer, Batia; Goldstein, Zahava – Language Assessment Quarterly, 2019
This article describes the development and validation of the new CATSS (Computer Adaptive Test of Size and Strength), which measures vocabulary knowledge in four modalities -- productive recall, receptive recall, productive recognition, and receptive recognition. In the first part of the paper we present the assumptions that underlie the test --…
Descriptors: Foreign Countries, Test Construction, Test Validity, Test Reliability
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Yu, Guoxing; Zhang, Jing – Language Assessment Quarterly, 2017
In this special issue on high-stakes English language testing in China, the two articles on computer-based testing (Jin & Yan; He & Min) highlight a number of consistent, ongoing challenges and concerns in the development and implementation of the nationwide IB-CET (Internet Based College English Test) and institutional computer-adaptive…
Descriptors: Foreign Countries, Computer Assisted Testing, English (Second Language), Language Tests
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Carr, Nathan T.; Xi, Xiaoming – Language Assessment Quarterly, 2010
This article examines how the use of automated scoring procedures for short-answer reading tasks can affect the constructs being assessed. In particular, it highlights ways in which the development of scoring algorithms intended to apply the criteria used by human raters can lead test developers to reexamine and even refine the constructs they…
Descriptors: Scoring, Automation, Reading Tests, Test Format