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Direct linkGu, Lin; Davis, Larry; Tao, Jacob; Zechner, Klaus – Assessment in Education: Principles, Policy & Practice, 2021
Recent technology advancements have increased the prospects for automated spoken language technology to provide feedback on speaking performance. In this study we examined user perceptions of using an automated feedback system for preparing for the TOEFL iBT® test. Test takers and language teachers evaluated three types of machine-generated…
Descriptors: Audio Equipment, Test Preparation, Feedback (Response), Scores
Download full textEnayati, Fatemeh; Gilakjani, Abbas Pourhosein – International Journal of Language Education, 2020
Regarding the large amount of vocabulary that learners should learn and the limited amount of time available in the EFL classes, Computer Assisted Language Learning (CALL) is considered as an attractive option for learning. One specific benefit of using CALL vocabulary instruction is to provide systematic repetition of words, ensuring that learned…
Descriptors: Foreign Countries, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
Kyle, Kristopher; Choe, Ann Tai; Eguchi, Masaki; LaFlair, Geoff; Ziegler, Nicole – ETS Research Report Series, 2021
A key piece of a validity argument for a language assessment tool is clear overlap between assessment tasks and the target language use (TLU) domain (i.e., the domain description inference). The TOEFL 2000 Spoken and Written Academic Language (T2K-SWAL) corpus, which represents a variety of academic registers and disciplines in traditional…
Descriptors: Comparative Analysis, Second Language Learning, English (Second Language), Language Tests
