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,…

Psychological well-being plays a crucial role in shaping students' academic success, emotional resilience, and overall educational experiences, while also significantly influencing teachers' job satisfaction and effectiveness. However, increasing academic pressures, institutional challenges, and digital advancements have posed new threats to…

Artificial intelligence technology has become widely used in many industries, including healthcare, agriculture, banking, social security, and home furnishings, due to the rise and development of this discipline. One of the newest areas of technology in the education industry is AI in Education, where extensive research supports instructional…

American education has focused on reading and literacy skills for decades, but the ongoing reading wars have had little effect on student performance. Authors Rick Ginsberg and Yong Zhao suggest that the growth of artificial intelligence makes this hyperfocus on reading especially misguided because it's becoming increasingly easy to access…

Integrating generative artificial intelligence (AI) tools like ChatGPT into education has reshaped academic practices, offering students innovative ways to engage with learning tasks. This study examines the cognitive, emotional, and behavioral factors influencing undergraduate students' engagement with ChatGPT, guided by the technology acceptance…

Pragmatic, scalable and sustainable responses to persistent socio-emotional issues such as mathematics anxiety remain elusive. Artificial intelligence (AI) offers a promising approach by enhancing students' perceptions of competence, control, and value while transforming teacher-student interactions. This paper advocates for a research agenda…

Precision education derives teaching and learning opportunities by customizing predictive rules in educational methods. Innovative educational research faces new challenges and affords state-of-the-art methods to trace knowledge between the teaching and learning ecosystem. Individual intelligence can only be captured through knowledge level…

Generative artificial intelligence (GenAI) has the potential to change student learning. Despite the popularity of integrating this novel technology into teaching and learning practices, few meta-analyses have synthesised its effect in the education context with K-12 and college students. This review examined the effects of GenAI interventions on…

Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…

Learners' achievements, motivation, and emotional states are closely linked to the roles and effectiveness of their teachers, while several challenges in foreign language classrooms hinder teacher efficacy. Artificial intelligence (AI) has the potential to offer substantial solutions by addressing individual student needs, expectations, and…

Virtual Reality (VR) is gradually integrating into classroom teaching, emerging as a new trend in educational development in the era of artificial intelligence. Desktop virtual reality stands out due to its lower cost and greater convenience. To elucidate the effectiveness of desktop virtual reality in learning, this paper employs a meta-analysis…

Artificial intelligence (AI) integration into higher education is expanding. This study aims to conceptualise the higher vocational lecturers' adoption of AI-powered chatbots (AIPC) for academic performance. This research employs semi-structured interviews to collect data from 30 lecturers across 10 Chinese higher vocational higher education…

Reading comprehension is a widely adopted method for learning English, involving reading articles and answering related questions. However, the reading comprehension training typically focuses on the skill level required for a standardized learning stage, without considering the impact of individual differences in linguistic competence. This…

This study aims to examine science teachers' views and concerns about artificial intelligence (AI). Phenomenology design, one of the qualitative research method designs, was used in the study. The study group consisted of five science teachers, one doctoral and four master's degree graduates. Semi-structured interview was preferred as a data…

This study examines the impacts of AI-powered personalized education on student achievement and future perspectives. Personalized education refers to teaching methods tailored to the individual needs and learning paces of students, made more effective by the opportunities offered by AI. AI technologies transform educational processes such as…