Background: This mixed-method, controlled quasi-experimental study aimed to examine the effects of metaverse-based English as a foreign language (EFL) instruction on high school students' listening skills and self-determination levels. The lessons, which were designed based on social constructivist theory, were implemented for a total of 8 weeks…

Background: The integration of generative artificial intelligence (Gen-AI) into second language (L2) education has opened new possibilities for personalized and adaptive instruction. While Gen-AI has shown promise in supporting language production skills, its application in reading, particularly in pre-reading scaffolding, remains underexplored.…

This study explored if generative artificial intelligence (AI) tools like ChatGPT can generate full lessons plans that are actually useful for real classrooms and meet the quality standards teachers and students deserve. The authors share how their teacher educator participants rated each type of lesson, what they preferred, and what the results…

Artificial intelligence (AI) technologies have been increasingly recognised for their transformative potential in education. However, limited research has examined the emotional and behavioural impacts of AI-powered robots on students. To bridge this gap, the present study explored whether instruction supported by AI-powered robots enhances…

Within the changing perspective of artificial intelligence (AI) teaching, English as a Foreign Language (EFL) students normally face an extensive range of educational challenges and difficulties, which can put their well-being at risk. Therefore, taking into account the elements that affect EFL students' well-being is crucial. Teachers' support…

Artificial intelligence (AI) is a technology that has been used quite effectively in the 21st century and has the potential to directly affect education as well as many other fields. AI is supported in many areas such as developing skills in education, increasing the effectiveness of education and student motivation, contributing to the…

Teachers' classroom communication behaviours play a significant role in students' academic performance and behaviours. However, insufficient research exists on the mediating impact of English as a foreign language (EFL) teachers' clarity and credibility on their students' willingness to attend classes (WTAC) mediated by AI tools, to date. To fill…

The success of efforts to integrate generative AI (GenAI) into classrooms depends heavily on teachers' willingness to integrate the relevant technologies. However, few studies have examined the effect of perceived psychological needs satisfaction on teachers' willingness to integrate GenAI (WIAI). This study investigated the effect of perceived…

Artificial intelligence has become an important force in higher education, especially in language learning. Existing research has mainly focussed on its influence on academic performance, with limited attention to psychological outcomes, so this study aimed to examine the effects of personal learning experience, social emotional learning and…

Despite their use in the classroom remaining controversial, generative AI chatbots that utilize LLMs have revolutionized all aspects of learning, formal and informal, and are proving remarkably useful in a second-language setting even if not primarily designed for foreign language learning. Across the globe, students' and faculty members' written…

The COVID-19 outbreak necessitated a rapid transition to eLearning in higher education institutions worldwide, including Uganda, where infrastructural and digital literacy challenges compounded this shift. Predicting student satisfaction with eLearning systems helps institutions evaluate how well these platforms are working, assess their future…

As AI technologies become increasingly integrated into education, this research investigates how students react to AI-generated versus human feedback in teamwork skills assessment. In Study 1, 108 students completed a virtual teamwork simulation and received assessment feedback framed as either AI- or human-generated. Students showed a clear…

Borderline intellectual functioning is a neurodevelopmental condition characterized by an intelligence quotient (IQ) in the range of 70-85. The present study aimed to investigate the mathematical abilities and the working memory of students with borderline intellectual functioning (BIF). The sample group included 10 year-old students with BIF (n =…

The aim of the article is to determine in the studied groups the multiple intelligence distribution defined in the 1980s by Howard Gardner. The research was conducted in three groups of respondents. The first study group was first-year students of computer science, the second was master (2nd degree) students, educationally 4 years older than the…

This study aimed to investigate the relationships between working memory capacity, fluid intelligence (Gf), and work engagement within the framework of the job demands-resources theory. Multioccupational employees (N = 175 in Study 1 and N = 383 in Study 2) completed sets of Gf, complex span, and n-back tests, along with job resources and work…