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Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
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Potocki, Anna; Chailleux, Mathilde; Gimenes, Manuel; Pylouster, Jean – Journal of Computer Assisted Learning, 2021
Many studies have demonstrated the crucial role of vocabulary in predicting reading performance in general. More recent work has indicated that one particular facet of vocabulary (its depth) is more closely related to language comprehension, especially inferential comprehension. On this basis, we developed a training application to specifically…
Descriptors: Computer Oriented Programs, Vocabulary Development, Reading Comprehension, Handheld Devices
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Wu, Ting-Ting – Journal of Computer Assisted Learning, 2018
Memorizing English vocabulary is often considered uninteresting, and a lack of motivation exists during learning activities. Moreover, most vocabulary practice systems automatically select words from articles and do not provide integrated model methods for students. Therefore, this study constructed a mobile game-based English vocabulary practice…
Descriptors: Vocabulary Development, Learning Motivation, Telecommunications, Handheld Devices
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Mize, Min Kyung; Park, Yujeong; Moore, Tara – Journal of Computer Assisted Learning, 2018
The purpose of this study was to synthesize the effectiveness of computer-assisted instruction (CAI) studies aiming to increase vocabulary for students with disabilities in an effort to identify what type of CAI is promising for practice. An extensive search process with inclusion and exclusion criteria yielded a total of 13 single-subject design…
Descriptors: Computer Assisted Instruction, Vocabulary Development, Vocabulary Skills, Skill Development
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Kurt, M.; Bensen, H. – Journal of Computer Assisted Learning, 2017
This paper moves away from reminiscent mechanical repetition and drills, which were in vogue when teaching vocabulary before the rise of technology. With the support of technology, innovative methodologies that are more effective and enjoyable can be implemented into vocabulary teaching. In this particular context, there seems to be a lack of…
Descriptors: Visualization, Technology Integration, Vocabulary Development, Video Technology
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Hong, J.-C.; Hwang, M.-Y.; Chang, H.-W.; Tai, K.-H.; Kuo, Y.-C.; Tsai, Y.-H. – Journal of Computer Assisted Learning, 2015
To determine the factors of learning effectiveness in English vocabulary learning when using a calibration scheme, this study developed a freshman English mobile device application (for iPhone 4) for students with low levels of English proficiency to practise vocabulary in the beginning of their Freshman English course. Data were collected and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
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Wong, L-H.; Looi, C-K. – Journal of Computer Assisted Learning, 2010
In recent years, we have witnessed the concomitant rise of communicative and contextualized approaches as well as the paradigmatic development of the mobile-assisted language learning (MALL) framework in analysing language learning. The focus of MALL research has gradually shifted from content-based (delivery of learning content through mobile…
Descriptors: Electronic Learning, Case Studies, Vocabulary Development, Learning Experience
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Lu, M. – Journal of Computer Assisted Learning, 2008
Whereas the penetration of mobile phones in Asian countries keeps climbing, little research has explored the application of the short message service (SMS) in second language learning. This study aims to examine the effectiveness of SMS vocabulary lessons of limited lexical information on the small screens of mobile phones. Thirty high school…
Descriptors: High School Students, English (Second Language), Interviews, Pretests Posttests