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Peiyu Wang; Liying Cheng – Critical Inquiry in Language Studies, 2025
This study employed a multi-methods design to investigate the impact of preparation on Chinese test-takers' perceptions of the integrated TOEFL iBT speaking and writing design. Combining results from over 1700 surveys and 10 interviews, it was found that these Chinese test-takers, who are the most vulnerable group in the multimillion testing…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Language Tests
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
Foghahaee, Zahra – Language Teaching Research Quarterly, 2019
Reverse engineering (RE) can play an important role in the re-designing tests in L2 English. It can also enrich the aim of teaching the same as raising children through academic achievement. In addition, it can play a key role in helping students understand how much their test is valid by using Standard reverse engineering (SRE). This paper is a…
Descriptors: Language Tests, Second Language Learning, Second Language Instruction, English (Second Language)