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Michal B. Paradowski; Magdalena Jelinska – Computer Assisted Language Learning, 2024
Learning a foreign language is a long-term process requiring persistence and a willingness to engage in activities that will help develop communicative competence. An important role on the way to achieving linguistic proficiency is played by L2 grit. However, foreign language learners differ in the intensity of this trait. We identify the most…
Descriptors: Second Language Learning, Electronic Learning, Online Courses, Predictor Variables
Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
Chen Chen; Yifeng Yuan – Computer Assisted Language Learning, 2025
This study explores the effectiveness of Virtual Reality (VR) in Chinese as a second language (CSL) vocabulary learning from the international students' perspective. A new theoretical framework of VR-based vocabulary learning was designed and verified to serve the investigation. A total of 30 international students learning CSL in a Chinese…
Descriptors: Second Language Learning, Second Language Instruction, Vocabulary Development, Computer Simulation
Siowai Lo – Computer Assisted Language Learning, 2024
With the rise of computer-assisted online learning tools such as the "Language Reactor," advanced captioning options such as dual subtitles (i.e. simultaneous display of on-screen texts in the first language and the second/foreign language) have gained much attention. However, little is known about how dual-subtitled viewing may be…
Descriptors: Vocabulary Development, Captions, Intervention, Educational Technology
Mark Feng Teng – Computer Assisted Language Learning, 2025
Working memory (WM) may be an essential component of incidental vocabulary learning and retention from captioned videos. However, how WM affects young learners' incidental vocabulary learning under different types of captions remains unclear. The present study employs a between-subject research design. The main purpose is to examine how two types…
Descriptors: Captions, Incidental Learning, Vocabulary Development, English (Second Language)
Nourollah Zarrinabadi; Mohsen Rezazadeh; Alireza Mohammadzadeh Mohammadabadi – Computer Assisted Language Learning, 2024
This article reports on a study that examined the relationship between language learners' L2 grit and language mindsets and their attitudes toward CALL. The participants of the study were 625 EFL learners (male = 165, 26.4%; female = 460, 73.6%) with the mean age of 24.4 years (SD = 1.74). They were asked to respond to questionnaires on language…
Descriptors: Second Language Learning, Resilience (Psychology), Student Attitudes, English (Second Language)
Ahmet Çekiç – Computer Assisted Language Learning, 2024
Despite increasing number of studies on incidental vocabulary learning through viewing in a foreign language, glosses, which have been proven to have facilitative effects in incidental vocabulary learning via other modes of input, have remained underexplored in audiovisual input. The current study investigates the effects of (1) traditional gloss…
Descriptors: Incidental Learning, Linguistic Input, Audiovisual Instruction, Teaching Methods