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…

A systematic review examining the efficacy of commercially available foreign language-learning apps (FLL) was completed. A database search of ERIC, PsychINFO, and LearnTechLib produced 1,786 journal articles. After applying specific inclusion and exclusion criteria based on Burston's seminal study (2015) requiring a minimum number of 10…

In recent years, learners worldwide have expressed increasing interest in mobile learning and the utilization of mobile devices for language learning purposes. However, few research synthesis studies have focused on pronunciation development in relation to employing MALL (mobile-assisted language learning). This review article contributes to the…

This bibliometric study examines the research trends, productivity, publication, and citation patterns of positive psychology in the field of foreign/second language education by analyzing 137 documents retrieved from the Web of Science (WoS) database between 2012-2022. Data analysis was conducted using various scientometric software, including MS…

Given the rapid advancements in artificial intelligence (AI) technologies for language education, this article provides a review of selected empirical studies on artificial intelligence in language education, spanning from 2013 to October 2023. Data for this review were gathered from the Web of Science, Eric ProQuest, Scopus, and five top…

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…

Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…

Integrating artificial intelligence (AI) in English for Nursing instruction has become increasingly important as healthcare becomes more technologically driven and globally connected. This systematic review analyzes 28 studies published from 2022 to 2024 to examine the current state of AI implementation in nursing ESP education. The findings…

The purpose of this review is to examine the effects of automated writing evaluation (AWE) feedback on students' English writing performance. We systematically reviewed studies that have empirically focused on this purpose. This review uses several combinations of key words to search in the databases of JSTOR, SSCI, and ERIC for peer-reviewed…

Throughout the decade of 2010-2020, the widespread use of mobile devices of any type (smartphones, tablets) has encouraged and strengthened their use in different learning processes and in different ways. Latest improvements in devices' processing power, in storage capacity, in memory allocation, in wireless connectivity, in GPS and in Bluetooth…

The aim of this study was to examine the current trends and main findings of the empirical computer assisted foreign language learning studies. The database, Web of Science, was reviewed and a total of 36 studies between 2000 and 2020 were analysed. The systematic analysis was performed with the content analysis method. The content of the reviewed…

We reviewed articles on computer-assisted language learning, focusing on intercultural education studies published in the last five years. We investigated the following aspects: (1) the theoretical foundation that the studies were based on, e.g., theory, hypothesis, model, or framework, (2) the technologies used by the participants, (3) the…

The traditional linear regression in applied linguistics (AL) suffers from the drawbacks arising from the strict assumptions namely: linearity, and normality, etc. More advanced methods are needed to overcome the shortcomings of the traditional method and grapple with intricate linguistic problems. However, there is no previous review on the…

Despite the growing body of research regarding the effectiveness of MALL (mobile-assisted language learning) technologies on foreign language (FL) learners' speaking skill development, a comprehensively quantitative meta-analysis regarding the effect sizes of these studies is still lacking. To solve the problem, this study reported results based…

Computer and internet technology encourage learners' autonomy by allowing them to choose the time, place, and circumstances conducive to learning (Ayllon et al., 2019; Baseghi, 2018; Rohatgi et al., 2016). The application of digital technology has meaningful connections with developing students' learning autonomy and promoting their skills…