This paper analyses the methodologies in 148 empirical data-driven learning studies for L2 English in prestige journals to examine best practice. Manual coding and corpus analysis of key words and n-grams from the past 5 years (2018-2022) explore the field as a whole and how methodologies have evolved, suggesting improvements and future avenues…

Even though corpora have transformed language education, the majority of corpus-related research focuses on the teaching of writing. Via a systematic review of previous studies and a survey of language corpora available, this study aims to ascertain whether and to what extent the teaching of speaking, especially of conversation skills, to EFL…

Complex Dynamic Systems Theory (CDST) has significantly reshaped our understanding of second language learning and teaching across the micro, meso, and macro levels for several decades since its systematic introduction by Larsen-Freeman and Cameron (2008). This study conducts a comprehensive review of empirical research on second language learning…

Although use of machine translation (MT) technologies by learners may seem like a relatively new issue in foreign language (FL) education, researchers have been investigating connections between MT tools and FL teaching and learning for more than three decades, years before learners had access to free online services such as Google Translate. This…

With a significant number of students using machine translation (MT) for academic purposes in recent years, language teachers can no longer ignore it in their classrooms. Although an increasing number of studies have reported its pedagogical benefits, studies have also revealed that language teachers are still sceptical about using MT for various…

This meta-analysis evaluated the effectiveness of data-driven learning (DDL) among low-proficiency L2 English learners, addressing the mixed results found in previous meta-analyses. The study incorporated 38 studies involving 2085 participants, yielding 37 effect sizes from control-experimental (C/E) studies and 42 from pre- and post-test (P/P)…

This study looks at how migrants' accents are portrayed, labelled, and constructed in media discourse, investigating media coverage of migrants' accents in the Australian press from 2007 to 2017, a period highlighted by changes in Australian citizenship policies and public discourse. While language has been extensively discussed in policy…

Lexical bundles (LBs) are frequent groups of words that appear repeatedly in different academic texts. A plethora of research has explored their distribution and usage in general, particularly in academic texts. However, to our knowledge, the extent of research investigating LBs in the discussion sections of Medical Research Articles (MRAs) is…

This research uses the theoretical framework of CALL normalisation developed by Bax (2003) and Chambers and Bax (2006) to offer a systematic review (Gough et al., 2012) of the uses and spread of data-driven learning (DDL) and corpora in language learning and teaching across five major CALL-related journals during the 2011-2015 period. DDL research…

Studies on automatic scoring systems in writing assessments have also evaluated the relationship between human and machine scores for the reliability of automated essay scoring systems. This study investigated the magnitudes of indices for inter-rater agreement and discrepancy, especially regarding human and machine scoring, in writing assessment.…

This article introduces the CELI corpus, a new learner corpus of written Italian consisting of ca. 600,000 tokens, evenly distributed among CEFR (Common European Framework of Reference for Languages) proficiency levels B1, B2, C1 and C2. The collected texts derive from the language certification exams administered by the University for Foreigners…

While writing involves interactions between writers and readers as each considers the other in creating and interpreting texts, research interest in written interaction is a fairly recent development. This paper uses a bibliometric analysis to trace the growing interest in written interaction over the past 30 years from its origins in philosophy,…

Nowadays, hardly anyone working in the field of foreign language teaching and learning can imagine life without machine translation (MT) tools. Thanks to the rapid development of artificial intelligence, MT now most widely assumes a new form, the so-called Neural Machine Translation (NMT), which offers the potential for a wide application in…

Metaphor of modality in the Hallidayan linguistic framework is manifested through a transition from implicit modal expressions to explicit modal expressions, encompassing metaphor of modalization and metaphor of modulation. This article conducts a corpus-based investigation to examine the prevalence of metaphors of modalization in English academic…

Multiple studies have shown that language learners and other students undertaking postsecondary studies in an additional language (L2) consult digital translation tools to complete course-related work despite general disapproval of their use by instructors. Significant improvements in the accuracy of machine translation (MT) along with their…