İngilizce Öğretmenliği Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1933

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Browsing İngilizce Öğretmenliği Koleksiyonu by browse.metadata.publisher "Elsevier"

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    Citation - WoS: 36
    Citation - Scopus: 61
    Mobile-Assisted Language Learning (mall) Research Trends and Patterns Through Bibliometric Analysis: Empowering Language Learners Through Ubiquitous Educational Technologies
    (Elsevier, 2022) Bozkurt, Aras; Karakaya, Kadir
    Mobile devices and technologies have proliferated extensively and become an integral part of lifeand learning. Mobile-assisted language learning (MALL) has progressed as an emerging area ofresearch corresponding to recent advances in mobile technologies and the proliferation ofsmartphones and tablet computers. Accordingly, this study examined MALL research between2008 and 2020 through a bibliometric analysis using social network analysis (SNA) and textmining techniques. The SNA and text mining analysis suggest five broad research themes: (1) self-regulated language learning by defining one’s own learning objectives, (2) providing learneragency and motivation by empowering autonomy, (3) personalizing learning through artificialintelligence (AI)-supported mobile learning (m-learning), (4) MALL for learning in the wild, and(5) MALL to support higher education. The findings show that while MALL research has beenconsiderably operationalized around linguistic factors, nonlinguistic factors relating to learners’interactions with mobile devices or applications have been largely overlooked. It was found thatMALL scholarship has recently tended to incorporate the use of mobile devices in informallearning contexts and outside the classroom due to the flexibility and anytime anywhere func-tionality of m-learning. The study concludes with several suggestions and highlights the areas thatneed more attention in MALL research.
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    Suggestions in Digital Discourse: The Case of MOOC Reviews
    (Elsevier, 2025) Ciftci, Hatime
    This study examines the speech act of suggestions in digital discourse through linguistic and functional approaches and explores how suggestions are performed along with cooccurring discourse-pragmatic particles, supporting moves, and aspects in their propositional content. More specifically, this paper presents findings regarding the speech act of suggestions in MOOC reviews as a recent and emerging genre of digital discourse. Embracing a discourse analytic perspective, this study indicates how suggestions are situated within the context they are used, and their multi-functionality is evidently relevant to the linguistic choices and supporting moves by MOOC learners, going beyond the utterance level meaning. Additionally, suggestion head acts involve certain aspects of online courses or their experience where learners often express their expectations or opinions for improvement. Overall, this study contributes to speech act research in digital discourse and provides insights into the use of suggestions in the discourse of MOOC reviews. (c) 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.