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Direct linkPeng, Hongying; Jager, Sake; Lowie, Wander – Computer Assisted Language Learning, 2022
Mobile technologies provide opportunities for L2 learners to engage in complex interactions involving a multitude of cognitive, meta-cognitive, and affective factors. Understanding the process of learners' mobile language learning thus needs holistic approaches that integratively consider learner attributes and their interaction with mobile…
Descriptors: Second Language Learning, Second Language Instruction, Telecommunications, Handheld Devices
Chen, Ming-Puu; Wang, Li-Chun; Zou, Di; Lin, Shu-Yuan; Xie, Haoran; Tsai, Chin-Chung – Computer Assisted Language Learning, 2022
Augmented reality (AR) deepens learning interactions by imposing digital information on top of physical settings. This study implemented an AR-enhanced theme-based contextualized learning and aimed to examine the effects of captions (non-caption, English caption and Chinese caption) and English proficiency (less proficient and proficient) on…
Descriptors: Visual Aids, Teaching Methods, Instructional Effectiveness, English (Second Language)
Slavuj, Vanja; Meštrovic, Ana; Kovacic, Božidar – Computer Assisted Language Learning, 2017
Adaptive and intelligent instructional systems are used to deal with the issue of learning personalisation in contexts where human instructors are not immediately available, so their role is transferred entirely or in part onto the computer. Even though such systems are mostly developed for well-defined domains that have a rather straightforward…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Intelligent Tutoring Systems
