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Download full textAsquith, Steven – TESL-EJ, 2022
Although an accurate measure of vocabulary size is integral to understanding the proficiency of language learners, the validity of multiple-choice (M/C) vocabulary tests to determine this has been questioned due to users guessing correct answers which inflates scores. In this paper the nature of guessing and partial knowledge used when taking the…
Descriptors: Guessing (Tests), English (Second Language), Second Language Learning, Language Tests
Direct linkYunjiu, 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
Bailey, Alison L.; Huang, Becky H.; Shin, Hye Won; Farnsworth, Tim; Butler, Frances A. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2007
Within an evidentiary framework for operationally defining academic English language proficiency (AELP), linguistic analyses of standards, classroom discourse, and textbooks have led to specifications for assessment of AELP. The test development process described here is novel due to the emphasis on using linguistic profiles to inform the …
Descriptors: Grade 5, Textbooks, Psychometrics, Profiles
