This study examined the effects of fluid intelligence and trait emotional intelligence (trait EI) on academic performance in primary school-aged intellectually gifted and average children (8-11 years of age). One hundred and four average children and eighty gifted children were administered a Raven's Standard Progressive Matrices and a Trait…

As educational technology advances, the role of artificial intelligence (AI) in enhancing language education becomes increasingly prominent. However, there is a scarcity of empirical research assessing how AI integration influences student engagement and contributes to the language learning performance. This mixed-methods study seeks to fill the…

With the increasing focus on the emotional nature of L2 writing instruction, chances have increased for L2 writing teachers to perform exquisite emotional labour in teaching writing knowledge and skills in the classroom, but our knowledge regarding the emotional labour strategies used by L2 writing teachers and their potential influence on their…

This study explores the transformative role of AI-enhanced social-emotional learning (SEL) frameworks in improving the engagement and emotional well-being of English as a foreign language (EFL) students in China. A survey was conducted among 816 undergraduate and postgraduate students from universities across five provinces, utilising convenience…

The role of AI chatbots is undergoing a transformation, where it was firstly used for English native language learning; later, it shifted to the use for learning English as a second language (ESL) and English as a foreign language learning. Lastly, it is used to learn foreign languages. Hence, due to the changes in AI chatbots' role, there is a…

Various AI technologies have been extensively introduced in language learning, showing positive impacts on students' learning, especially on their classroom-based engagement. Yet, AI's comprehensive affordances as well as influences across different cohorts of student engagement remain underexplored. Given this, the current study, employing…

The rapid growth of technology has penetrated the realm of education, reshaping old teaching philosophies and improving educational approaches. Notably, the influence of Artificial Intelligence (AI) on English learning has become momentous. However, a critical issue is the lack of autonomy in AI-enabled English learning applications, leading to…

Generative AI has stormed the education community worldwide. Gen-AI's potential to assist teachers in providing feedback to students is the focus of the current research. Specifically, the research investigated how similar or different AI-generated feedback was from teacher feedback, and whether there were differences in students' responses to the…

The benefits of Generative Artificial Intelligence (GenAI) in enhancing second language (L2) learning are well established. However, these advantages can only be realised if learners are willing to adopt the technology. This study, grounded in the Theory of Planned Behaviour (TPB), investigated the factors influencing the behavioural intention to…

Recently, artificial intelligence (AI)-programmed automated writing evaluation (AWE) has attracted increasing attention in language research. Using a small data set arising from an analysis of five Chinese university-level English as a foreign language (EFL) students' submissions, this paper examined in detail how EFL students interacted with the…

Continuation writing was recently introduced as a new element of China's English as a Foreign Language (EFL) assessment. The assessment task requires students to complete the story within a set word limit. Preparing students for this task is challenging for Chinese EFL teachers, as little pedagogical guidance is supplied. Given the recent trend of…

This study aimed at examining the issue of digital plagiarism within EFL education across Korea, Mongolia, and China in the era of Artificial Intelligence, focusing on how AI technologies affect academic integrity. It investigated both learners' and instructors' perceptions of digital plagiarism, shedding light on the impact of cultural and…

This study combines link grammar (LG) detector with N-grammar model to analyze and evaluate grammar in compositions. And then the composition level is judged through information entropy. Finally, the composition score is calculated based on the overall composition level and grammar weight. The experimental results show that the combined weight of…

Optimizing communication learning experiences for students is a promising development in English language education, enabled by ChatGPT-4, an artificial intelligence software that excels in customizing lessons to suit specific requirements, interests, and preferred modes of communication for each student. Given its critical role in enhancing…

The rapid development of social reform and the economy has brought great challenges to the mental health of college students. However, there are few studies on the impact of these psychological problems on college students' English learning. As a special group about to enter society, studying the mental health of college students in foreign…