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Ockey, Gary J.; Neiriz, Reza – Assessment in Education: Principles, Policy & Practice, 2021
As our understanding of the construct of oral communication (OC) has evolved, so have the possibilities of computer technology undertaking the delivery of tests that measure this ability. It is paramount to understand to what extent such developments lead to accurate, comprehensive, and useful assessment of OC. In this paper, we discuss five…
Descriptors: Speech Communication, Computer Assisted Testing, Speech Tests, English (Second Language)
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Zhang, Lin; Jin, Yan – Assessment in Education: Principles, Policy & Practice, 2021
The computer-based College English Test-Spoken English Test (CET-SET) in China incorporates interactional competence in its construct by using a non-face-to-face paired discussion task. To build validity arguments for this unique computer-mediated interactive task, the present study investigated the impact of delivery mode on test performance in…
Descriptors: Computer Assisted Testing, English (Second Language), Language Tests, Communicative Competence (Languages)
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de Jong, Nivja H.; Pacilly, Jos; Heeren, Willemijn – Assessment in Education: Principles, Policy & Practice, 2021
Fluency in terms of speed of speech and (lack of) hesitations such as silent and filled pauses ('uhm's) is part of oral proficiency. Language assessment rubrics therefore include aspects of fluency. Measuring fluency, however, is highly time-consuming because of the manual labour involved. The current paper aims to automatically measure aspects of…
Descriptors: Language Fluency, Speech Skills, Second Languages, Indo European Languages
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Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Assessment in Education: Principles, Policy & Practice, 2022
Written expression curriculum-based measurement (WE-CBM) is a formative assessment approach for screening and progress monitoring. To extend evaluation of WE-CBM, we compared hand-calculated and automated scoring approaches in relation to the number of screening samples needed per student for valid scores, the long-term predictive validity and…
Descriptors: Writing Evaluation, Writing Tests, Predictive Validity, Formative Evaluation
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Blundell, Christopher N. – Assessment in Education: Principles, Policy & Practice, 2021
This paper presents a scoping review of, firstly, how teachers use digital technologies for school-based assessment, and secondly, how these assessment-purposed digital technologies are used in teacher- and student-centred pedagogies. It draws on research about the use of assessment-purposed digital technologies in school settings, published from…
Descriptors: Computer Uses in Education, Student Evaluation, Student Centered Learning, Computer Assisted Testing
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Clark, Tony; Endres, Heidi – Assessment in Education: Principles, Policy & Practice, 2021
An effective diagnostic test can play a key role in language learning, allowing strengths and weaknesses in students' linguistic development to be identified and addressed. This paper describes the online Cambridge English diagnostic test, assessing English grammatical knowledge at A2 level. As most language tests focus on proficiency or…
Descriptors: Diagnostic Tests, High School Students, Computer Assisted Testing, Grammar
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Xu, Jing; Jones, Edmund; Laxton, Victoria; Galaczi, Evelina – Assessment in Education: Principles, Policy & Practice, 2021
Recent advances in machine learning have made automated scoring of learner speech widespread, and yet validation research that provides support for applying automated scoring technology to assessment is still in its infancy. Both the educational measurement and language assessment communities have called for greater transparency in describing…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computer Software
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Bramley, Tom; Crisp, Victoria – Assessment in Education: Principles, Policy & Practice, 2019
For many years, question choice has been used in some UK public examinations, with students free to choose which questions they answer from a selection (within certain parameters). There has been little published research on choice of exam questions in recent years in the UK. In this article we distinguish different scenarios in which choice…
Descriptors: Test Items, Test Construction, Difficulty Level, Foreign Countries
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Gu, Lin; Davis, Larry; Tao, Jacob; Zechner, Klaus – Assessment in Education: Principles, Policy & Practice, 2021
Recent technology advancements have increased the prospects for automated spoken language technology to provide feedback on speaking performance. In this study we examined user perceptions of using an automated feedback system for preparing for the TOEFL iBT® test. Test takers and language teachers evaluated three types of machine-generated…
Descriptors: Audio Equipment, Test Preparation, Feedback (Response), Scores
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Jerrim, John – Assessment in Education: Principles, Policy & Practice, 2016
The Programme for International Assessment (PISA) is an important cross-national study of 15-year olds academic achievement. Although it has traditionally been conducted using paper-and-pencil tests, the vast majority of countries will use computer-based assessment from 2015. In this paper, we consider how cross-country comparisons of children's…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Bejar, Isaac I. – Assessment in Education: Principles, Policy & Practice, 2011
Automated scoring of constructed responses is already operational in several testing programmes. However, as the methodology matures and the demand for the utilisation of constructed responses increases, the volume of automated scoring is likely to increase at a fast pace. Quality assurance and control of the scoring process will likely be more…
Descriptors: Evidence, Quality Control, Scoring, Quality Assurance
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Ahmed, Ayesha; Pollitt, Alastair – Assessment in Education: Principles, Policy & Practice, 2010
The two most common models for assessment involve measuring "how well" students perform on a task (the "quality model"), and "how difficult" a task students can succeed on (the "difficulty model"). By exploiting the interactive potential of computers we may be able to use a third model: measuring "how…
Descriptors: Student Evaluation, Computer Assisted Testing, Student Needs, Test Validity