2015
DOI: 10.1016/j.procs.2015.07.198
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Context-Aware Mobile Language Learning

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Cited by 13 publications
(3 citation statements)
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“…In conclusion, the signi cance statistical results of users' knowledge improvement and their satisfaction with the study, was in line with the results of previous studies [10][11][12][15][16][17][18]. In Guse et al (2012), for instance, it was found that new digital media can help to improve the sexual health of adolescents such as delaying rst experiences of sex, motivating users of social networks, and helping them to learn about HIV, sexually transmitted infections, and pregnancy.…”
Section: Discussionsupporting
confidence: 87%
“…In conclusion, the signi cance statistical results of users' knowledge improvement and their satisfaction with the study, was in line with the results of previous studies [10][11][12][15][16][17][18]. In Guse et al (2012), for instance, it was found that new digital media can help to improve the sexual health of adolescents such as delaying rst experiences of sex, motivating users of social networks, and helping them to learn about HIV, sexually transmitted infections, and pregnancy.…”
Section: Discussionsupporting
confidence: 87%
“…Studies and applications of MLL have been steadily increased together with the trend of creating short learning activities that made language learning more ubiquitous in the recent advancements in mobile technology (Schneegass et al, 2018). Due to its ubiquity and context adaptability, MLL applications are recognized to be a feasible tool and provide an appropriate mobile learning environment for learners (Morales et al, 2015). Mobile technology has been popularized for its effectiveness in the learning of the English language (Elaish et al, 2019).…”
Section: Mobile Language Learning (Mll)mentioning
confidence: 99%
“…In [17] a context-aware mobile language learning application is presented, that it focused on providing language support to users living in foreign countries. It suggests context-relevant vocabulary, considering usage context attributes such as user's gender, geolocation and native language.…”
Section: Related Workmentioning
confidence: 99%