Objective: This study delved into the integration of ChatGPT as a medium for English teacher professional development among Vietnamese English as Foreign Language (EFL) teachers. Methods: Rooted in the Constructivist Learning Theory and the Technological Pedagogical Content Knowledge (TPACK) framework, the qualitative exploration employed…

Power distance (PD), a cultural value denoting acceptance of asymmetrical power relationships, influences the force of rhetoric used by a writer to address their reader. However, AI technologies such as ChatGPT lack an explicit awareness of PD, which could affect the quality of AI-generated persuasive texts used for language learning. To…

This study aims to describe Indonesian EFL teachers' perceived perspective and self-efficacy in EFL teaching using ICALL, reveal the prominent factor influencing each variable, and examine the effect of the perceived perspective on their self-efficacy. This study used a cross-sectional survey design with a quantitative approach. There were 284…

The impact of artificial intelligence (AI) on education and lifelong learning is a topic of significant importance as AI continues to change numerous sectors. This paper aims to critically examine AI's profound effect in these domains. The present research explores the ethical dilemmas and pedagogical approaches relevant to incorporating…

This research explores the collaboration between Indonesian English as a Foreign Language (EFL) educators and Artificial Intelligence (AI) in content development. Employing a qualitative approach, semi-structured interviews were conducted to delve into the perspectives, experiences, and interactions of educators in the realm of AI-enhanced content…

Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…

An online peer-assessment system typically allows students to give textual feedback to their peers, with the goal of helping the peers improve their work. The amount of help that students receive is highly dependent on the quality of the reviews. Previous studies have investigated using machine learning to detect characteristics of reviews (e.g.,…

Across the U.S. economy, large-scale changes in work are occurring because of skills disruption: the constant re-invention of work driven by the vigorous, accelerating demand for new skills in virtually all jobs, and the spread of those skills across industries and around the world. In the past half decade, the average U.S. worker has had to…

Mobile-assisted language learning (MALL) research includes examination and development of second language learners' cognitive and metacognitive self-regulated learning skills, but the affective learning component of self-regulation in this context remains largely unexplored. Support for affective learning, which is defined by learners' beliefs,…

As an emergent technology augmented reality (AR) demonstrated a plethora of advantages in foreign language education, promoting motivation, memorization of contents as well as contextualized learning. However, the majority of teachers are unfamiliar with AR, and their role as designers and facilitators requires further investigation. Moreover,…

Recent developments in machine translation (MT) might have led some people to believe that soon professional translation will not be needed, but most translator trainers are aware of the high demand for the quality that MT systems cannot deliver without human intervention. It is thus important that professional translators, trainers and their…

Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…

To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…

This exploratory Australian study tested a novel mobile-based language learning service intervention (via WhatsApp) called 'Chatloop' with 31 newly arrived migrants. This intervention was offered in tandem with the traditional Adult Migrant English Program (AMEP) classroom curriculum. A mixed methods approach was employed to trial the intervention…

This study investigated the effect of Chatbot-Assisted Dynamic Assessment (CA-DA) on vocabulary learning and provided insights into learner abilities drawn from its implementation. Through the use of mediating chatbots, this study implemented DA to multiple learners simultaneously and provided each learner with human-like interaction. The chatbots…