This study aimed to compare the effectiveness of the experiential learning cycle (ELC) and self-regulated learning (SRL), both implemented through a game-based approach (AI 2 Robot City board game), in fostering computational thinking (CT) and understanding of artificial intelligence (AI) applications in university level. The sample consisted of…

This study explored characteristics that principals, senior leadership team members, and middle leaders perceive as supporting the effective functioning of senior leadership teams (SLTs) in high-performing Catholic composite and secondary schools (CCSS) in Western Australia. Composite schools include both primary and secondary students. The…

This study evaluates the effectiveness of a machine learning (ML) integrated science curriculum implemented within the Science Research Mentorship Program (SRMP) for high school youth at the American Museum of Natural History (AMNH) over 2 years. The 4-week curriculum focused on ML knowledge gain, skill development, and self-efficacy, particularly…

This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques,…

Despite increasing calls for integrating generative AI (GAI) into education, individual teachers still show disparate attitudes and actions. It is thereby pivotal to understand the reasons behind such divergent responses. However, factors affecting teachers' uptake of GAI in their instruction, particularly their endorsement of students' engagement…

The ability to sustain personal wellbeing is a central part of language teacher educators' emotional expertise, as they need to navigate multiple complexities that put their wellbeing at risk. There is a growing influx of studies that showcase the influencing factors of wellbeing among pre- and in-service language teachers, with language teacher…

The world currently grapples with ambiguity and uncertainty, facing ongoing challenges that span various aspects of life, from economic fluctuations and political instability to environmental crises and technological advancements. Confronting such ambiguity and uncertainty highlights the critical importance of equipping learners with…

This study aimed to investigate the degree to which faculty members at Jordanian universities employ applications of artificial intelligence (AI) in education and scientific research. By adopting a descriptive survey approach, we developed a questionnaire consisting of 39 items covering three dimensions: planning and teaching, evaluation, and…

Students who have a comprehensive understanding of their potential career paths are better able to make informed decisions regarding their professional futures. Providing classroom activities and assignments designed for career exploration is important to help instructors facilitate student experiences for learning about career paths, supporting a…

As artificial intelligence (AI) receives wider attention in education, examining teachers' acceptance of AI (TAAI) becomes essential. However, existing instruments measuring TAAI reported limited validity evidence and faced some design challenges, such as missing informed definitions of AI to participants. To fill this gap, this study developed…

Artificial intelligence (AI) is reshaping university education by offering personalized teaching assistance tailored to each student's cognitive needs. Despite its global rise, AI's adoption in higher education in developing nations like Bangladesh is sparse. This study, gathering 363 responses from Bangladeshi universities, employed PLS-SEM, ANN,…

The article studies the effectiveness of the use of interactive techniques and technologies in the development of social-emotional skills among future elementary school teachers in the process of teaching disciplines of the professional training cycle. It also aims to determine the influence of certain elements of educational programs on the…

Generative artificial intelligence (GenAI) has significant potential for educational innovation, although its impact on students' learning outcomes remains controversial. This study aimed to examine the impact of GenAI on the learning outcomes of K-12 and higher education students, and explore the moderating factors influencing this impact. A…

Artificial Intelligence has significantly reshaped foreign language pedagogy, encouraging rural EFL lecturers to move beyond traditional methods. This study aims to investigate the perspectives of rural EFL lecturers in Indonesia on integrating AI into their teaching practices. Using a qualitative design and case study approach, the study explores…

Large language model (LLM)-based conversational agents (CAs), with their advanced generative capabilities and human-like conversational interfaces, can serve as reading partners for children during dialogic reading and have shown promise in enhancing children's comprehension and conversational skills. However, there is limited research on the…