Augmented Reality (AR) and Virtual Reality (VR) are poised to revolutionize education by offering immersive and interactive learning experiences. This research comprehensively evaluates the educational applications of AR and VR, specifically emphasizing their impact on student motivation, learning outcomes, engagement, and overall learning experiences. The analysis explores how AR and VR can improve student learning, knowledge retention, and skill acquisition by systematically reviewing existing the literature from diverse educational domains, including K-12 education, higher education, STEM education, professional training, and lifelong learning. Additionally, the research investigates the pivotal role of AR and VR in fostering immersive and interactive learning environments, unveiling how these technologies promote active learning, collaboration, and critical thinking through simulations and interactive experiences. The evaluation considers the potential of AR and VR beyond traditional classroom settings in distance education and assesses the feasibility of virtual classrooms, web-based learning environments, and Massive Open Online Courses (MOOCs). A significant aspect of the study involves understanding student attitudes toward AR and VR technologies and their influence on intrinsic motivation, interest, and enthusiasm for the learning material. Based on a thorough analysis of relevant literature, the research aims to provide practical recommendations for educators to effectively incorporate AR and VR into education practices. The recommendations prioritize a pedagogically sound design, educator training, and accessibility consideration to ensure equitable access for all learners. In summary, this extensive research reveals the significant impact of AR and VR on education by understanding the strengths, limitations, and challenges of making informed decisions on utilizing these technologies to create engaging, impactful learning experiences, fostering a generation of technologically proficient and knowledge-driven learners.

Although there has been some progress, the integration of artificial intelligence into higher education remains far from sufficient. The demand for teachers will persist for some time; however, with the introduction of AI-based robots into classrooms, the role of teachers has reduced to a minimum. The purpose of the current study was to evaluate Chinese higher education students’ intentions to adopt AI-based robots for educational purposes. Based on the TAM3 model, the current study proposes 14 hypotheses to evaluate students’ intention to adopt AI-based robots in education. The students’ data were collected and analyzed using PLS-SEM. The study findings revealed that 12 hypotheses were accepted and two were rejected. The results indicate that students are willing to accept AI-based robots in their education. However, the findings revealed an insignificant influence of job relevance and robot anxiety on perceived usefulness and ease of use, respectively. The findings of this study will provide insight into university administrations regarding the significance of AI-based robots in education. Moreover, the findings will help robot developers, policy makers, and university administrators design and implement AI-based robots that fulfill contemporary education needs.

The innovative behavior of university teachers plays a vital, long-term role in advancing scientific and technological innovation and in nurturing high-level talent. Flow experience is influenced by flow antecedents such as the balance between challenge and skill, clear goals, immediate feedback, intrinsic motivation, and perceived risk. Moreover, flow experience, characterized by deep concentration and effective attention allocation, is essential in facilitating innovative behavior by enhancing problem-solving and analytical abilities. This study explores the relationship between flow experience and innovative behavior among university teachers, providing a fresh theoretical perspective for encouraging such behavior. To investigate this, the study developed the “University Teacher Flow Experience Scale” and the “University Teacher Innovative Behavior Scale”. A survey of 316 university teachers in China was conducted, with statistical analysis utilizing variance analysis and structural equation modeling. Results showed that both flow experience and innovative behavior were at moderate levels. Significant variations in innovation levels were noted across disciplines, professional titles, and positions, but no gender differences were found. Antecedents such as a balance between challenges and skills, clear goals, immediate feedback, and intrinsic motivation positively influenced flow experience, while perceived risk had a negative impact. Flow experience itself significantly enhanced innovative behavior among university teachers. The findings highlight the importance of optimizing the factors contributing to flow experience at institutional and individual levels to promote innovation in higher education.

Purpose: The aim of this study is to assess the perception of international medical students of e-learning in China, since medical teaching during the COVID-19 pandemic had to adapt to challenges, and students had to cope with the new teaching modality, more so international students. Therefore, the opinion of students with their first contact to a fully virtual education will be helpful to modify e-teaching to better suit the students’ needs. Method: Four hundred seven medical students, in China, were recruited via social media and were asked to complete structured questionnaires, regarding technical and content aspects of their e-courses. Findings: Most issues reported were of technical nature, especially for students attending the school distantly and network instability/unavailability was frequently (52.48%). Moreover, the audio was less helpful than texts/images and the senior students were less satisfied with the technical (0.005) and content (p=0.001) aspects. They also were more critical of their teachers’ performance (p=0.042). Clinical cases and scenarios also received the lowest score. Implications for research and practice: Overall students did not feel confident with the e-learning, comfortable implementing it to patients and were reluctant to embrace it. Both technical difficulties and understanding issues impeded international students from embracing e-learning medical teaching, in China and efforts need to be made to acclimatise them to this new reality.