Background: The emergence of ChatGPT in the education literature represents a transformative phase in educational technology research, marked by a surge in publications driven by initial research interest in new topics and media hype. While these publications highlight ChatGPT's potential in education, concerns arise regarding their quality,…

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…

Background: Since it was first launched, ChatGPT, a Large Language Model (LLM), has been widely used across different disciplines, particularly the medical field. Objective: The main aim of this review is to thoroughly assess the performance of the distinct version of ChatGPT in subspecialty written medical proficiency exams and the factors that…

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…

Automated writing evaluation feedback (AWE) has become popular in writing classrooms. However, few studies have conducted a comprehensive review of the employment of AWE in learning areas. This study aimed to provide a systematic review of the current research on AWE feedback, including its validity, effects, and students' engagement with AWE…

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…

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…

The current study explored two levels of formulaic sequences, general and discipline specific, in a corpus of 200 applied linguistics research articles and examined the functions they serve. Using Antconc software, in total, 2563 sequences were identified including 593 general and 1370 discipline-specific sequences. These numbers account for 30%…

This study explores how Korean-to-English machine translation (MT) systems (e.g., Google Translator, NAVER Papago) deal with Korean passive structures. Cross-linguistically, Korean and English passives show different ways to construct passive-voice sentences from active structure. English passives including with [to be + past participle] may have…

Biodiversity education, as part of a broader environmental education is an important topic, not only for politicians, journalists but also teachers. In the educational context, it is now recognized that students have to be taught biodiversity, its conservation and how to use it in a durable. In this paper, we are interested in assessing how…

Given that formulaic sequences play an important role in enhancing L2 learners' academic writing skills and that phraseological sequences constitute a large proportion of written discourse, the current study was an attempt to draw up a list of key phrase frames--phraseological sequences with a variable slot--in a corpus of research articles (RAs)…

In 2000, Kiraly published his monograph "A Social Constructive Approach to Translator Education," which catapulted project-based translator training into prominence. Since then, many empirical studies have been conducted, all focusing on a single project. Despite cumulative evidence of the efficacy of this student-centred approach, we…

Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…

Purpose: The purpose of this paper is to identify the different sequence generation techniques for learning, which are applied to a broad category of personalized learning experiences. The papers have been classified using different attributes, such as the techniques used for sequence generation, attributes used for sequence generation; whether…

Innovation and the development of knowledge in the field of scientific research is increasing exponentially, but it continues to be disjointed. It makes it difficult to keep up with state-of-the-art and to be at the forefront of research and dissemination, as well as to evaluate empirical evidence in the area of academic excellence. Recent…