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Akase, Masaki – Language Testing in Asia, 2022
The purpose of this study is to equate and further validate three forms of the vocabulary size test (VST) created by Aizawa and Mochizuki (2010). These three forms, VST 1, 2, and 3, were administered to a cohort of 189 high school students ranging in age from 16 to 18 in April of their 1st, 2nd, and 3rd year of high school. Although these…
Descriptors: Vocabulary Development, Vocabulary Skills, Language Tests, Longitudinal Studies
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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
Gershon, Richard C. – 1990
In an effort to improve the ways in which words are learned, the Johnson O'Connor Research Foundation (JOCRF) is attempting to determine the difficulty level of all non-technical words in the English language. This item banking project entails: (1) identifying words that should be calibrated; (2) writing a test item for each word; (3) testing the…
Descriptors: Cognitive Processes, Database Design, Databases, Difficulty Level
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring