The article defines “ardent Zen” as expressing one’s true self without being bound by morality or conventional values. Describe the connection between this concept and the Zen poetry of Tue Trung Thuong Si (1230-1291), a Tran Dynasty aristocrat and Zen master in Vietnam, and Yuan Hongdao (1568-1610), a late Ming poet and literary theorist in China. Yuan Hongdao’s ideas on the Nature Sensibility theory, which he developed using Zen philosophy to find the connection between two people from different eras but the same East Asian cultural environment, and some of Tue Trung Thuong Si’s poems serve as the foundation for this essay. Research indicates that “ardent Zen” is a notion in religious practice as well as a lifestyle that strives for authenticity and inner-world liberty.

This research aims to develop a digital transformation strategy to enhance vocational-oriented education and enrollment counseling activities in high schools in Gia Lai province, Vietnam. It addresses the challenges faced by high school and university teachers in implementing these activities. The study used a concurrent mixed-methods approach, collecting qualitative and quantitative data from 30 lecturers at five universities in Ho Chi Minh City, 80 teachers, and 240 12th-grade pupils at 24 high schools in Gia Lai province. Using a concurrent mixed-methods approach, data were collected from 30 lecturers at five universities in Ho Chi Minh City, 80 teachers, and 240 12th-grade pupils from 24 high schools in Gia Lai province. Analysis combined statistical methods (e.g., descriptive and inferential statistics) and thematic content analysis, assessing the status of VOE, collaboration efficacy, high school teachers’ challenges, and digital transformation needs. Based on these findings, a digital transformation strategy was proposed with key components: training programs, digital learning resources, partnerships with industries and technology companies, and a technology-driven career guidance framework. These recommendations aim to assist policymakers and education leaders in developing robust VOE and EC strategies, supporting pupils in preparation for digital workforce demands.

Artificial Intelligence (AI) is increasingly having a strong impact on higher education, particularly in improving students' learning outcomes. To evaluate the influence of AI on students' creativity and academic performance, this study conducted a survey among students at Van Hien University, thereby constructing and testing the relationships between the following factors: the benefits of using AI, awareness levels, information accuracy, personalization, creativity, and learning outcomes. The data were collected via Google Forms during April and May 2025, with 231 valid responses, and analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The research findings indicated that AI had a positive impact on awareness, personalization, and information accuracy. At the same time, the study also demonstrated that artificial intelligence (AI) positively affected students' learning outcomes through the mediating roles of personalization and creativity. Through these results, the study aimed to contribute important theoretical and practical insights for students and educational institutions in the processes of learning and teaching.

The paper examines the empirical relationship between exchange rate and foreign trade in 12 Asian countries from 2013m1 to 2019m12. The Pedroni test, Pooled mean group method, and Dumitrescu-Hurlin test are employed to examine the relationship between variables. The findings give that most pairs variables between exchange rate and foreign trade are cointegration and correlation, except the pair of foreign trade and currency per USD, but it is adjusted to equilibrium significantly for the long-term. Moreover, we explore that the positive relationship between exchange rate and foreign trade. Although a few pairs of variables are uni- or non-directional causality, most cases are significant bi-directional causality. The intensity effect from exchange rate to foreign trade is larger than the opposite direction.

The research was conducted to examine the factors influencing the intention to use blockchain-integrated e-commerce platforms among young consumers in Hanoi. Drawing on employing structural equation modeling (SEM), the research surveyed a sample size of 253 by google form on various social media platforms. The results showed that cost savings and perceived ease of use have a positive impact on the intention to use blockchain-integrated e-commerce platforms among young consumers in the Hanoi area. However, source traceability and personal data security do not significantly influence users' intentions. Based on these findings, several recommendations are proposed for businesses and the government to promote the adoption of blockchain-integrated e-commerce platforms by consumers.

This study investigated the roles of technology readiness in shaping university students’ perceptions of usefulness and ease of use, and how these perceptions influence their intentions and actual use of AI tools. A total of 343 valid responses were analyzed using the SPSS (version 27) and Smart-PLS (version 4.1.1.0). The findings reveal that among the four elements of technology readiness, optimism and innovativeness positively affect perceived usefulness and ease of use, while discomfort and insecurity had a negative effect. Furthermore, perceived usefulness, perceived ease of use, subject norms, and perceived behavioral control positively impacted the intentions to use AI tools and led to positive actual use. The results suggest that students view AI as a supportive tool in their study. These insights could help universities enhance the effectiveness of teaching and studying, and guide technology companies in developing strategies that align with user readiness and behavioral intentions.