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Yumei Zou; Sathiamoorthy Kannan; Gurnam Kaur Sidhu – SAGE Open, 2024
Task design has been viewed to be essential in the context of language assessment. This study investigated whether increasing task complexity affects learners' writing performance. It employs three writing tasks with different levels of complexity based on Robinson's Componential Framework. A cohort of 278 participants was selected using a simple…
Descriptors: Difficulty Level, College Students, Foreign Countries, Writing Achievement
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Slepkov, A. D.; Van Bussel, M. L.; Fitze, K. M.; Burr, W. S. – SAGE Open, 2021
There is a broad literature in multiple-choice test development, both in terms of item-writing guidelines, and psychometric functionality as a measurement tool. However, most of the published literature concerns multiple-choice testing in the context of expert-designed high-stakes standardized assessments, with little attention being paid to the…
Descriptors: Foreign Countries, Undergraduate Students, Student Evaluation, Multiple Choice Tests
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Yunjiu, Luo; Wei, Wei; Zheng, Ying – SAGE Open, 2022
Artificial intelligence (AI) technologies have the potential to reduce the workload for the second language (L2) teachers and test developers. We propose two AI distractor-generating methods for creating Chinese vocabulary items: semantic similarity and visual similarity. Semantic similarity refers to antonyms and synonyms, while visual similarity…
Descriptors: Chinese, Vocabulary Development, Artificial Intelligence, Undergraduate Students
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Baghaei, Purya; Ravand, Hamdollah – SAGE Open, 2019
In many reading comprehension tests, different test formats are employed. Two commonly used test formats to measure reading comprehension are sustained passages followed by some questions and cloze items. Individual differences in handling test format peculiarities could constitute a source of score variance. In this study, a bifactor Rasch model…
Descriptors: Cloze Procedure, Test Bias, Individual Differences, Difficulty Level