The rapid integration of artificial intelligence (AI) technologies into the field of higher education is causing widespread public discourse. However, existing research is fragmented and lacks systematic synthesis, which limits understanding of how college and university students adopt artificial intelligence technologies. To address this gap, we conducted a systematic review following the guidelines of the PRISMA statement, including studies from ScienceDirect, Web of Science, Scopus, PsycARTICLES, SOC INDEX, and Embase databases. A total of 5594 articles were identified in the database search; 112 articles were included in the review. The criteria for inclusion in the review were: (i) publication date; (ii) language; (iii) participants; (iv) object of research. The results of the study showed: (a) The Technology Acceptance Model and the Unified Theory of Technology Acceptance and Use are most often used to explain the AI acceptance; (b) quantitative research methods prevail; (c) AI is mainly used by students to search and process information; (d) technological factors are the most significant factors of AI acceptance; (e) gender, specialty, and country of residence influence the AI acceptance. Finally, several problems and opportunities for future research are highlighted, including problems of psychological well-being, students’ personal and academic development, and the importance of financial, educational, and social support for students in the context of widespread artificial intelligence.

This mixed-methods study investigates the impact of the Science, Technology, Engineering, Arts, and Mathematics (STEAM) method and fifth-semester student engagement on entrepreneurial competencies in the higher education of the makeup and beauty program at Padang State University. Using a convergent parallel design, data were collected from 117 fifth-semester students through questionnaires, interviews, observations, and portfolio assessments. The data were analyzed using Two-Way ANOVA and thematic analysis. The quantitative results revealed that the STEAM approach significantly outperformed conventional methods. Specifically, 83.33% of students achieved excellent leadership scores (M = 89.00, SD = 2.85), and 78.33% excelled in creativity (M = 87.50, SD = 2.98). High levels of engagement (M = 4.33) across behavioral, emotional, and cognitive dimensions correlated with enhanced competencies (p < .001). Qualitative findings indicated increased motivation, collaborative learning through platforms like TikTok Shop, and heightened mental engagement from diverse resources. The interaction between the STEAM and student engagement further amplified outcomes (F = 3.75, p = .025, R² = 0.454). This study highlights the transformative potential of the STEAM method in developing entrepreneurial competencies, underscoring its applicability in vocational education. Educators should integrate STEAM methodologies and digital platforms into their curricula, while future research should examine the long-term impacts and scalability of these approaches.

This study examines the emotional labor of early childhood educators and its relationship with interactions involving children and parents, with a focus on emotional regulation and demographic influences. This study aimed to investigate the impact of emotional regulation strategies and demographic variables on educators’ emotional well-being during professional interactions. A quantitative approach was adopted, with data collected through structured questionnaires. The analysis concentrated on emotion suppression and surface acting in relation to well-being. Results indicated that teachers experienced considerable emotional burden, with emotion suppression being more prevalent than surface acting, particularly in interactions with parents. Fifty-three percent of educators reported a high emotional burden in parent-related suppression, compared to 38% in interactions with children. Additionally, 38% reported high suppression in self-regulation, while 29% experienced no burden from surface acting. Emotion suppression in parent interactions had the most significant impact on well-being (standardized coefficient = 0.4044, p < .001), followed by education level (coefficient = 0.1646, p < .001). Factors such as generation, teaching experience, salary, and certification were not statistically significant. The model explained 18.7% of the variance in emotional well-being. These findings align with existing literature that highlights the emotional burden of teaching and the psychological toll of unaddressed regulation challenges. Therefore, culturally and contextually appropriate suppression-management training, together with enhanced institutional support, is essential to reduce the emotional burden on Indonesian early childhood educators.

This study examined the effect of workplace spirituality and person-organization fit on faculty turnover intention in Indonesian universities, with employee engagement as a potential mediating variable. The research involved 1026 faculty members from both public and private universities in Indonesia, with at least one year of teaching experience. A quantitative survey design was employed. Data were collected through questionnaires administered directly to respondents or via online communication channels. The findings revealed that both workplace spirituality and person-organization fit significantly reduced faculty turnover intention. Furthermore, it has been proven that employee engagement acts as a mediator in this relationship. Universities that foster workplace spirituality and ensure a good person-organization fit can enhance faculty engagement, ultimately leading to lower turnover intentions. To increase engagement and reduce turnover, this research highlights the importance of fostering workplace spirituality within universities and ensuring that faculty members are well-suited. It contributes to knowledge of faculty retention strategies in higher education. The study acknowledges its limitations, including a cross-sectional design and reliance on self-reported information. Future research using longitudinal designs is recommended.