The emergence of artificial intelligence (AI) and AI-based applications has become increasingly significant due to its transformative potential in various fields including language learning. These applications have the potential to enhance second language (L2) learners' speaking proficiency, willingness to communicate (WTC), and perception,…

Purpose: The purpose of this study is to explore learner-centered emerging technologies, methods of learning with artificial intelligence (AI), student engagement and concerns related to the assessment process at public and private universities in Bangladesh. Design/methodology/approach: The study employed a qualitative research approach to…

Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…

This study conducts a comprehensive quantitative evaluation of OpenAI's language model, ChatGPT 4, for grading Task 2 writing of the IELTS exam. The objective is to assess the alignment between ChatGPT's grading and that of official human raters. The analysis encompassed a multifaceted approach, including a comparison of means and reliability…

The central aim of this research was to uncover how educators in Indonesia live out their life's calling, striving to create a widespread positive impact not only for their students but also for the surrounding environment. Adopting a qualitative case study approach, data was collected through in-depth interviews with 20 educators from all over…

This volume offers a rich overview of current research and teaching strategies for the integration of technology into language teaching and learning. It introduces the Planning, Personalization and Implementation (PPI) methodological framework to support educators in engaging with the theoretical foundations and innovative practices that should…

Background: Critical thinking is essential in modern education, and artificial intelligence (AI) offers new possibilities for enhancing it. However, the lack of validated tools to assess teachers' AI-integrated pedagogical skills remains a challenge. Objectives: The current study aimed to develop and validate the Artificial Intelligence-Critical…

The National College English Test Band 4 (CET-4) is a key test to assess the English language ability of Chinese university students, and the success rate of the test is important to improve the quality of their English learning. Artificial intelligence technology can be used to predict and explore the factors influencing the success rate. This…

The surge of generative AI (GenAI) tools on the internet has caused unprecedented disruptions to education, and there are growing concerns about them being misused by students to commit plagiarism, hence jeopardizing assessment validity. Despite the foreseeable challenges, it remains unclear how frontline language teachers perceive and react to…

Improving scientific literacy is crucial for early childhood development, yet limited studies necessitate a thorough analysis to identify effective solutions. This study aims to analyze the implementation of project-based learning in early childhood education to improve scientific literacy. The study followed the identification, screening,…

In a historical moment in which Artificial Intelligence and machine learning have become within everyone's reach, science education needs to find new ways to foster "AI literacy." Since the AI revolution is not only a matter of having introduced extremely performant tools but has been determining a radical change in how we conceive and…

This study examined how discourses surrounding Generative artificial intelligence (GenAI) tools in K-12 English language arts (ELA) classrooms construct relationships between teachers, students, and digital platforms. Drawing upon critical literacy theory and teaching as a sociocultural practice, researchers analyzed qualitative data from 10…

The growing use of generative AI (GenAI) has sparked discussions regarding integrating these tools into educational settings to enrich the learning experience of teachers and students. Self-regulated learning (SRL) research is pivotal in addressing this inquiry. One prevalent manifestation of GenAI is the large-language model (LLM) chatbot,…

This study aimed to examine the effect of incorporating the generative pre-trained AI chatbot, ChatGPT, into an instructor-led writing class on the motivation of Japanese university students. This study examines changes in students' Ideal L2 Self, Ought-to L2 Self, and L2 Learning Experience using Dörnyei's L2 Motivational Self System (L2MSS)…

The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…