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Huawei, Shi; Aryadoust, Vahid – Education and Information Technologies, 2023
Automated writing evaluation (AWE) systems are developed based on interdisciplinary research and technological advances such as natural language processing, computer sciences, and latent semantic analysis. Despite a steady increase in research publications in this area, the results of AWE investigations are often mixed, and their validity may be…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Automation
Aryadoust, Vahid – Computer Assisted Language Learning, 2020
The aim of the present study is two-fold. First, it uses eye-tracking to investigate the dynamics of item reading, both in multiple choice and matching items, before and during two hearings of listening passages in a computerized while-listening performance (WLP) test. Second, it investigates answer changing during the two hearings, which include…
Descriptors: Eye Movements, Test Items, Secondary School Students, Reading Processes
Aryadoust, Vahid; Foo, Stacy; Ng, Li Ying – Language Testing, 2022
The aim of this study was to investigate how test methods affect listening test takers' performance and cognitive load. Test methods were defined and operationalized as while-listening performance (WLP) and post-listening performance (PLP) formats. To achieve the goal of the study, we examined test takers' (N = 80) brain activity patterns…
Descriptors: Listening Comprehension Tests, Language Tests, Eye Movements, Brain Hemisphere Functions
Zhu, Xuelian; Aryadoust, Vahid – Computer Assisted Language Learning, 2022
A fundamental requirement of language assessments which is underresearched in computerized assessments is impartiality (fairness) or equal treatment of test takers regardless of background. The present study aimed to evaluate fairness in the Pearson Test of English (PTE) Academic Reading test, which is a computerized reading assessment, by…
Descriptors: Computer Assisted Testing, Language Tests, Native Language, Culture Fair Tests