The proliferation of smartphones has given rise to intelligent personal assistants (IPAs), software that helps users accomplish day‐to‐day tasks. However, little is known about IPAs in the context of second language (L2) learning. Therefore, the primary objectives of this case study were twofold: to assess the ability of Amazon's IPA, Alexa, to understand L2 English utterances and to investigate student opinions of the IPA. Four university students of English as a foreign language (EFL) in Japan participated in the study, which involved each participant interacting with Alexa in a 20‐min session. Three sets of data were collected and analyzed to achieve the study's aims: learner‐generated command performance, interactive storytelling performance, and interviews. The quantitative results showed that Alexa accurately understood only 50% of learner commands, whereas comprehensibility during the interactive storytelling skill, Earplay, was much higher (90%). Three themes were identified from the interviews based on criteria developed by Hubbard (): hindered learner efficiency due to the lack of first language (L1) support, improved learner effectiveness through indirect pronunciation feedback, and better access to conversational opportunities. These findings demonstrate that EFL learners perceive Alexa to be a potentially useful tool to enhance language learning and underscore the need for additional (L2) research of IPAs.
The ubiquity of smartphones and the growing popularity of smart speakers have given rise to cloud-based, intelligent personal assistants (IPAs), such as Siri and Google Assistant. However, little is known about the use of IPAs for Autonomous Second Language Learning (ASLL). Thus, the aims of this study were twofold: to assess Japanese English as a Foreign Language (EFL) students’ perceptions towards IPAs, also known as virtual assistants, for ASLL, and to better understand learner behavior of these technologies. A total of 14 Japanese university students were given smart speakers and interacted with a companion IPA, Amazon Alexa, over a two-month period in their homes. Moreover, the participants completed a survey consisting of Likert-scale items and open-ended questions to obtain their views of the IPA for ASLL. While the results indicated that the students had mostly favorable views of Alexa for L2 learning, many of them did not actively engage with the virtual assistant during the data collection period. Furthermore, students tended to give up when faced with communication difficulties with the IPA. These findings highlight the potential of IPAs for ASLL and underscore the gap between what students say, and what they actually do, with language learning technology.
While the use of automated writing evaluation software has received much attention in CALL literature, as Frankenberg-Garcia (2019) notes, empirical research on predictive text and intelligent writing assistants is lacking. Thus, this study addressed this gap in the literature by examining the impact of Grammarly, an intelligent writing assistant that incorporates predictive text technology, on the mobile writing quality of Japanese L2 English students. Specifically, the study explored if Grammarly had a significant effect on the grammatical accuracy, lexical richness, writing fluency, or syntactic complexity of L2 students' writing when compared to unassisted mobile writing. A total of 31 university EFL students participated in the 8-week study which utilized a counterbalanced design. Participants took part in weekly guided freewriting tasks under each writing condition (non-Grammarly and Grammarly) over the duration of the study. The descriptive statistics and results from t-tests showed that when students wrote with the assistance of Grammarly, they produced fewer grammatical errors and wrote with more lexical variation. These findings highlight the potential of predictive text and real-time corrective feedback as a way to support L2 writing, particularly among novice writers who may struggle to write effectively in the L2.
<p>The evolving video viewing habits of consumers combined with advances in mobile technology have resulted in the growth of video on demand (VOD) services. While these video streaming services potentially offer several benefits for L2 learners, little is known about them in the context of language learning. Thus, this study fills this gap in the literature by examining EFL students’ views of Netflix, the leading provider of subscription VOD. The study also investigates the extent to which EFL learners use Netflix for L2 learning and the means by which they access the service. Nine Japanese EFL students participated in the study and were given three months to use Netflix. The participants were then interviewed to obtain their opinions of the video streaming service. Four themes were extracted from the interview data: (1) enhanced learning effectiveness, (2) increased L2 motivation, (3) better access to L2 knowledge, and (4) hindered convenience. It was also found that the learners watched primarily through mobiles devices rather than PCs, and viewed more L2 titles than L1 programming. These results illustrate that subscription VOD has the potential to foster L2 learning and underscore the necessity for more research into their use for language learning.</p>
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