This study examines the factors influencing science teachers' intentions to adopt humanoid robots in educational settings. It employs the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) and the Technology-Organization-Environment (TOE) framework as guiding theoretical models. By integrating UTAUT-2, which emphasizes individual…

This study explores the development of research on creative thinking in education over the past ten years through a bibliometric analysis of 249 Scopus peer-reviewed articles. The findings indicate a significant increase in interest and number of publications. Innovative methods, such as problem-based and collaborative learning, were identified as…

Developing countries' striving towards the improvement of socio-economic indicators against the background of ongoing global and domestic crises leads to the search for new ways to achieve goals in this direction. The growth of digital inclusion and overcoming of digital inequality allow unifying the society, which facilitates the creation of new…

The rapid advancement of artificial intelligence (AI) and its accessibility to almost everyone necessitate a clear definition of its role in education. The primary step in effectively integrating AI into mathematics education (ME) is formulating instructional strategies that consider its advantages and disadvantages. This study aims to develop…

This study seeks to better understand how and why teachers use technology in their work. Teachers were surveyed to explore to what extent they integrate technology and why they integrate it to the extent that they do. Faculty at three upper-level public schools in the Northeast were surveyed. Three teachers also volunteered for interviews, and one…

Despite vast improvements in technology infrastructure and classroom technology implementation across Malaysia, there still remain teachers who fail to seamlessly integrate technology in their lessons. Potential explanations for this behaviour span from low self-efficacy and computer anxiety to personal attitudes and beliefs. Technology has been…

Purpose: This study aims to enhance the understanding of the current research landscape regarding the utilisation of telepresence robots (TPRs) in education. Design/methodology/approach: The bibliometric and thematic analysis of research publications on TPRs was conducted using papers in the Scopus database up to 2023. The final analysis focused…

Background: Artificial intelligence-generated content (AIGC) has stepped into the spotlight with the emergence of ChatGPT, making effective use of AIGC for education a hot topic. Objectives: This study seeks to explore the effectiveness of integrating AIGC into programming learning through debugging. First, the study presents three levels of AIGC…

Traditional phenotyping methods are labor-intensive, time-consuming, and often destructive measurements that describe plant traits. Technology allows the advancement of sensor-based phenotype data to be collected digitally. This area of work is called high-throughput phenotyping (HTP). HTP is rapid, non-destructive, and non-invasive. The effective…

Artificial intelligence (AI) encompasses the science and engineering behind creating intelligent machines capable of tasks that typically rely on human intelligence, such as learning, reasoning, decision-making, and problem-solving. By analyzing vast amounts of data, identifying patterns, and making predictions that were once impossible, AI has…

The intersection of Artificial Intelligence (AI) and educational leadership has garnered significant attention in recent years due to advancements in knowledge technology and digital literacy. Despite growing interest from scholars and policymakers over the past decade, a comprehensive review of AI in the context of educational leadership and…

Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…

The autoethnographic study investigates the transformative impact of generative AI on educational research, instructional design, and teaching practices over a 5-month period (May-October 2024). By integrating AI tools into every phase of the research process, the study examines AI's role as both a research partner and a subject of inquiry. Field…

Background/purpose: The sustainability of educational systems in the digital era requires not only technological innovation but also a fundamental restructuring of governance to ensure long-term equity, adaptability, and inclusion. This study examines Indonesia's educational transition through Belajar.id, the national digital platform introduced…

The ever-changing landscape of distance learning AI and learning analytics transforms engagement and efficiency in education. AI systems analyze behavior and performance data to provide real-time feedback for improved outcomes. Learning analytics further help educators to identify at-risk students while fostering better teaching strategies. By…