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Direct linkLoncar, Michael; Schams, Wayne; Liang, Jong-Shing – Computer Assisted Language Learning, 2023
The following review incorporates a systematic selection, coding, and analysis methodology in order to compile a corpus of empirical research studies that investigate the use of technology-mediated feedback in L2 writing contexts published from 2015-2019. Trends are identified by coding and quantitatively analyzing key parameters of the corpus,…
Descriptors: Research Reports, Writing Instruction, Feedback (Response), Technology Uses in Education
Chen, Hao-Jan Howard; Lai, Shu-Li; Lee, Ken-Yi; Yang, Christine Ting-Yu – Computer Assisted Language Learning, 2023
Knowledge of collocations is essential for English academic writing. However, there are few academic collocation referencing tools available and there is a pressing need to develop more. In this paper, we will introduce the ACOP (Academic Collocations and Phrases Search Engine), a newly developed corpus-based tool to search large academic corpora.…
Descriptors: Academic Language, English for Academic Purposes, Phrase Structure, Computational Linguistics
Zou, Di; Huang, Yan; Xie, Haoran – Computer Assisted Language Learning, 2021
Given the importance of word knowledge for second language acquisition, there is always a need for effective word-learning approaches from language learners. With the rapid development of educational technologies, game-based learning is emerging into a field with considerable potential, within which, digital game-based vocabulary learning has…
Descriptors: Vocabulary Development, Game Based Learning, Teaching Methods, Second Language Learning
