The integration of artificial intelligence (AI) into engineering education is essential for fostering innovation, strategic thinking and interdisciplinary skills in the intelligent era. On this basis, this study aims to track and visually represent the research outputs associated with AI applications in engineering education, providing insights…

The review research is prepared to make the higher education institutions aware of the benefits and risks, the implementation strategy required, and a detailed roadmap needed, and to finally conclude the report with some recommendations. A systematic review and outcomes provide unique findings with an up-to-date information of artificial…

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…

Recent literature underscores the need for teachers to develop AI competencies with a recognition of the current lack of well-defined competence frameworks. This critical review investigates teachers' Artificial Intelligence (AI) competence frameworks (AI CFTs), analysing their strengths, weaknesses and practical applications for researchers,…

This study examines the pedagogical, ethical, and political dimensions of artificial intelligence (AI) in early childhood STEM education from a theoretical perspective. As digital technologies become increasingly prevalent in education, AI applications offer significant opportunities in areas such as personalized learning experiences, game-based…

Background: This study aims to explore the diverse applications of contemporary technological innovations in education and to propose effective strategies for their integration into the curriculum, addressing the complexities and collaborative efforts required for meaningful learning experiences. Methods: This systematic review examines the…

This study aims to provide a systematic review using the PRISMA protocol that overviews artificial intelligence (AI) professional development (PD) initiatives for teachers, emphasising the fusion of technological and pedagogical knowledge. Framed within the Technological Pedagogical Content Knowledge (TPACK) framework, the research explores the…

As the debate and discussions are rapidly growing about the implementation of Artificial Intelligence (AI) in higher education institutions (HEIs) as well as in other sectors, we have gone through a systematic review and research of the topics and progress of AI at the present time. We have surveyed much literature and prepared a research review…

Research on Artificial Intelligence in Education (AIED) has rapidly progressed in recent years, and understanding the research trends and development is essential for technological innovations and implementations in education. Using a bibliometric analysis of 6843 publications from Web of Science and Scopus, we found that China, US, India, Spain,…

In this analysis, we review artificial intelligence (AI)-supported personalized learning (PL) systems, with an emphasis on pedagogical approaches and implementation challenges. We searched the Web of Science and Scopus databases. After the preliminary review, we examined 30 publications in detail. ChatGPT and machine learning technologies are…

This systematic literature review explores the ethical considerations and challenges instructional designers face when integrating artificial intelligence (AI) into the instructional design process for adult learners. Using the Technological Pedagogical Content Knowledge (TPACK) framework to examine the relationship of ethics, pedagogy, and…

This scoping review discusses artificial intelligence's (AI) transformative role in strategic enhancement planning and academic excellence at Qatar University (QU). In response to the unprecedented rise in the integration of AI into higher education institutions worldwide, this study aims to understand its influence on institutional strategies and…

This meta-analysis examined the effectiveness of artificial intelligence (AI) technologies in educational settings through a systematic review of 13 empirical studies conducted across eight countries. We analysed the impact of various AI technologies on educational outcomes using PRISMA guidelines and multiple analytical approaches, including…

Artificial Intelligence in Education (AIEd) has experienced a rapid rise in the past decade. This systematic review is the first examining the use of AIEd in K-12 including 169 extant studies from 2011 to 2021. This study provides contextual information from the research, such as the educational disciplines, educational levels, research purposes,…

This paper presents a systematic review of the application models, affects, and performance outcomes of VR/AR in vocational education. The analysis is based on journal articles retrieved from renowned databases such as Web of Science, Scopus, and EBSCO, spanning from January 2000 to January 2022. It highlights the pedagogical value of VR/AR in…