Chapter Nine: Workplace Mobile-Assisted Second Language Learning: Designing for Learner Generated Authenticity

Gjedde, Lisa; Bo-Kristensen, Mads

doi:10.1163/9781780526478_010

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…In a seemingly natural progression, CALL has followed the burgeoning trend of mobile technology, and has successfully migrated to mobile devices and m-learning. Studies have documented the use of mobile-assisted language learning (MALL) for populations ranging from primary school students (Kirsch, 2016) to lifelong learners (Gjedde & Bo-Kristensen, 2012). Applications have also varied widely, from vocabulary and assignments delivered via SMS (Alemi, Sarab, & Lari, 2012;Gutiérrez-Colon, Gallardo, & Grova, 2012) to dynamic assessment of students' oral output (Tarighat & Khodabakhsh, 2016).…”

Section: Computer-assisted Language Learningmentioning

confidence: 99%

Data mining in foreign language learning

Bravo‐Agapito

Bonilla

Seoane

2018

WIREs Data Min & Knowl

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Educational data mining (EDM) combines the techniques of data mining with educational data in order to provide students, instructors, and researchers with knowledge that can benefit academic processes. Due to globalization, foreign language learning (FLL) has become increasingly important. This work seeks to gain insight as to how data mining (DM) is being used to benefit FLL. For this purpose, an advanced review of pertinent research published from 2012 to 2017 was performed. After applying our screening method, 208 papers were selected for the exhaustive analysis. This analysis was divided into four aspects: context (educational environments, educational level), number of items, DM methods, and DM applications. The results indicated that 54% of studies were conducted in traditional environments, while only 3% of studies were performed in an m‐learning environment. In addition, 25 and 72% of the research was conducted in either a primary or secondary level, or in tertiary or adult level, respectively. Likewise, 76% of studies contained datasets of less than 1,000 items. The most utilized EDM methods were: factor analysis, regression, text mining, correlation mining, and causal DM. In addition, the studies analyzed showed that DM is mainly employed to predict the performance of students, to check learners' motivation, and to provide feedback for instructors. These results seem to indicate that although DM has much to offer the increasing number of language students, it is not being used to its full potential. This article is categorized under: Application Areas > Education and Learning Fundamental Concepts of Data and Knowledge > Data Concepts

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Section: Computer-assisted Language Learningmentioning

confidence: 99%

Data mining in foreign language learning

Bravo‐Agapito

Bonilla

Seoane

2018

WIREs Data Min & Knowl

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The Future of Foreign Language Instructional Technology: BYOD MALL

Burston

2016

eurocall

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This paper describes trends in instructional technology that are influencing foreign language teaching today and that can be expected to increasingly do so in the future. Though already an integral part of foreign language instruction, digital technology is bound to play an increasing role in language teaching in the coming years. The greatest stimulus for this will undoubtedly be the accessibility of Mobile-Assisted Language Learning (MALL), made possible through the exploitation of mobile devices owned by students themselves. The ubiquitous ownership of smartphones and tablet computers among adolescents and adults now makes a Bring Your Own Device (BYOD) approach a feasible alternative to desktop computer labs. Making this work, however, especially in a financially and technologically restricted environment, presents a number of challenges which are the focus of this paper.

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Chapter Nine: Workplace Mobile-Assisted Second Language Learning: Designing for Learner Generated Authenticity

Cited by 2 publications

References 3 publications

Data mining in foreign language learning

Data mining in foreign language learning

The Future of Foreign Language Instructional Technology: BYOD MALL

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