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Direct linkFariba Foroutan Far; Mahboubeh Taghizadeh – Computer Assisted Language Learning, 2024
This study investigated the effects of digital and non-digital gamification on EFL learners' learning collocations, satisfaction, perceptions, and sense of flow. The participants divided into three groups of digitally gamified, non-digitally gamified, and non-gamified classes were 75 Iranian EFL students at B1 level. In each class, students were…
Descriptors: Gamification, Technology Uses in Education, English (Second Language), Second Language Learning
Lin, Vivien; Barrett, Neil E.; Liu, Gi-Zen; Chen, Nian-Shing; Jong, Morris Siu-Yung – Computer Assisted Language Learning, 2023
The field of language education has experienced a rise in using virtual reality (VR) to support interactive, contextualized, and collaborative language learning in recent years. The current study investigates the effects of auditory, visual, and textual input on speaking and writing in English for Tourism Purposes (ETP) through immersive,…
Descriptors: Tourism, English for Special Purposes, Undergraduate Students, Computer Simulation
Tsai, Kuei-Ju – Computer Assisted Language Learning, 2019
Corpora are well-known for the affordance to make linguistic regularities salient. Since the coinage of the term 'data-driven learning' (DDL) in the 1990s, much has been done to investigate the effects of DDL on learning vocabulary, most notably lexico-grammatical patterns. However, less researched is how learners construct vocabulary knowledge…
Descriptors: Dictionaries, Computational Linguistics, Second Language Learning, Second Language Instruction
Crosthwaite, Peter – Computer Assisted Language Learning, 2017
An increasing number of studies have looked at the value of corpus-based data-driven learning (DDL) for second language (L2) written error correction, with generally positive results. However, a potential conundrum for language teachers involved in the process is how to provide feedback on students' written production for DDL. The study looks at…
Descriptors: Feedback (Response), Error Correction, Morphology (Languages), Syntax
Chen, Howard Hao-Jan; Wu, Jian-Cheng; Yang, Christine Ting-Yu; Pan, Iting – Computer Assisted Language Learning, 2016
The development of collocational knowledge is important for foreign language learners; unfortunately, learners often have difficulties producing proper collocations in the target language. Among the various ways of collocation learning, the DDL (data-driven learning) approach encourages the independent learning of collocations and allows learners…
Descriptors: Chinese, Phrase Structure, Second Language Learning, Computational Linguistics
Daskalovska, Nina – Computer Assisted Language Learning, 2015
One of the aspects of knowing a word is the knowledge of which words it is usually used with. Since knowledge of collocations is essential for appropriate and fluent use of language, learning collocations should have a central place in the study of vocabulary. There are different opinions about the best ways of learning collocations. This study…
Descriptors: Computational Linguistics, Phrase Structure, Verbs, Form Classes (Languages)
