The application of Artificial Intelligence (AI) in education is rapidly transforming the teaching and learning landscape in Vietnam. AI technology is being integrated into various educational platforms to provide personalized learning experiences, support educators, and enhance the overall efficiency of the education system. In Vietnam, AI is utilized to develop adaptive learning programs, intelligent tutoring systems, and automated administrative processes. AI-powered tools such as virtual teaching assistants and chatbots are also being employed to offer real-time support and feedback to students. Furthermore, AI-driven data analytics is used to monitor and improve student performance and engagement levels. AI assists teachers in automating grading, reducing assessment time, and enabling speech recognition systems to evaluate students’ English-speaking skills. These innovations contribute to a more dynamic, interactive, and inclusive educational environment. However, challenges such as data privacy concerns, the digital divide, and the demand for a skilled workforce remain significant. Addressing these issues is crucial for the sustainable integration of AI into Vietnam’s education sector.

Mathematics education contributes to the formation and development of students' key qualities, general abilities and mathematical abilities. In particular, the ability to solve mathematical problems is one of the core elements of mathematical ability, helping students develop key knowledge and skills and creating opportunities for students to experience and apply practical mathematics. The study proposes some measures to foster students' mathematical problem-solving capacity in teaching the topic "Algebra" (Math 10). Teaching practice shows that the proposed measures are appropriate and feasible, initially contributing to improving the quality of teaching and meeting the goals of educational innovation specified in the General Education Program math pass 2018.

Asia’s financial ecosystems, while distinct from Western paradigms, remain underexplored. This study integrates cultural finance, regime-switching machine learning, and ESG asymmetries into a novel analytical framework tailored to Asia’s unique financial architecture. We develop three models: a Hybrid LSTM-GARCH for crisis forecasting, a Bayesian Structural Equation Model capturing informal institutional dynamics, and a machine learning-enhanced Difference-in-Differences model to assess ESG impacts. Theoretically, we propose the Cultural-Statistical Nexus Framework, embedding sociocultural variables into predictive finance, the concept of institutional plasticity to explain regulatory divergence, and ESG Arbitrage Theory to highlight sustainability’s dual role as risk mitigator and speculative signal. Empirically, Confucian Risk Aversion reduces corporate leverage by 15 percent, ESG adoption lowers systemic risk but increases greenwashing, and hybrid models outperform conventional tools in FX crisis prediction. Practical implications include cultural-risk-adjusted capital buffers, AI-based liquidity tools, and region-specific ESG strategies, advancing a globally inclusive paradigm of financial science.

Implementing specific mechanisms and policies to develop the economy and society in certain localities is an innovative step in the legislative process in Vietnam. This initiative has timely addressed practical issues, helping localities overcome many difficulties and obstacles in legal documents, harnessing advantages, mobilizing resources, accelerating economic and social development, and achieving significant results. Binh Duong Province has recently experienced a period of strong industrial growth but faces some sustainability challenges. In the planning for economic and social development, Binh Duong needs to research specific mechanisms and policies in several areas, such as developing industry linked with innovation, transforming the workforce, investing in high-quality education, and managing and synchronizing urban planning and development. The specific mechanisms and policies for Binh Duong should aim to address national issues by overcoming the middle-income trap, making it the first locality in Vietnam to achieve high income.

The novel is a constantly changing and evolving genre when it shows the width and depth in the reflection of reality, opening up endless dialogues about the value of human existence in its flexible structural framework. The article exploits, points out and evaluates theoretical achievements of the twentieth century novel. From this evaluation, the text identify the theoretical development trend of this genre in the twenty-first century, placed in the movement correlation, movement of contemporary Vietnamese literature seen from creative writing and receptive innovation.

Youth in a nation is the most viable and potential human resource in both demographic and social structure. Without the youth's adequate and integrated bio-social development a nation cannot attain its anticipated human goals. Based on government initiative a2i, the empowerment of youth towards sustainable development in Bangladesh is described in this paper. Although the Bangladesh Government has formulated and implemented policies, plans and programs for youth welfare are still through GOs and NGOs. Related literature indicates that, regardless of all age and regions, young people in this country face several socio-cultural problems where they cannot grow and empower themselves adequately. As a result, they cannot play their important roles in sustainable development and changes within the country. To resolve the problems of the youth in relation to their development and empowerment, the Government of Bangladesh is developing and implementing some solutions. The case study focuses on the role of a2i for development of youth in the successful design of public development and sustainable development programs.