Journal of China-ASEAN Studies

Cultural Intelligence and Fertility Decision-Making: Exploring Mediating Pathways in Sino-Thai Cross-Cultural Marriages

2025-06-30T22:12:00+07:00

This study critically examines the mediating influence of cultural intelligence on the
relationship between marital satisfaction and fertility intentions among Sino-Thai crosscultural
couples. Employing a methodologically rigorous approach, we surveyed 196 Chinese
nationals married to Thai partners using validated instruments: The General Attitudes towards
Intercultural Marriage Scale, the Cultural Intelligence Scale, and the Fertility Desire Scale.
Correlational analyses revealed significant positive associations among marital satisfaction,
cultural intelligence, and fertility intentions. Furthermore, mediation analysis demonstrated
that cultural intelligence partially mediates the impact of marital satisfaction on fertility
intentions. These findings underscore the pivotal role of cultural intelligence in navigating
intercultural marital dynamics and fertility decision-making. The study contributes to the
scholarly discourse by elucidating the complex interplay of cultural factors in cross-cultural
marriages, particularly within the Sino-Thai context. Implications suggest that enhancing
cultural intelligence may foster greater marital satisfaction and promote positive fertility
intentions, thereby informing interventions and policies aimed at supporting intercultural
couples.

Building Trust in a Matrix of Distrust: Chinese International Students’ Experiences in the UK

2025-06-05T07:51:13+07:00

This study investigates how trust is constructed among Chinese international students in the UK during the COVID-19 pandemic. Although much research addresses trust and migration, trust among international students remains underexplored. To address this gap, we propose a new theoretical approach of building trust within a matrix of distrust. Drawing on in-depth interviews with 70 Chinese international students who studied in the UK during the COVID-19 lockdowns from 2020 to 2021, we identify four main trust-relevant situations: performing public health rituals, learning during the pandemic, managing emotional well-being, and making sense of COVID policies. Our findings reveal that trust construction involved complex interactions with various trustees, challenging existing binary categorisations between generalised and particularised trust and in-group/out-group dynamics. We observed trust-building across ethnic boundaries and trust-contesting within in-groups, as well as shifts in political trust when exposed to alternative approaches. These findings demonstrate the limitations of existing trust categorizations and emphasize the need to consider trust as an evolving, context-dependent process. By focusing on building trust, this new theoretical approach not only allows us to uncover the sites and processes of trust construction but also to systematically map out how trustors and trustees interact in the matrix of trust-relevant situations.

Generative AI and Creative Thinking in Art Education: A TPACK-Based Theoretical Framework

2025-06-05T09:12:51+07:00

This paper explores the integration of generative artificial intelligence (AI) into art education as a means to foster creative thinking. Using the Technological Pedagogical Content Knowledge (TPACK) framework, it conceptualizes generative AI as technological knowledge dynamically interacting with pedagogical strategies and disciplinary content. The study proposes a model that enables art educators to design instruction aligning AI capabilities with creative learning goals. While generative AI enhances students’ imaginative engagement, it also raises ethical concerns such as authorship and originality. This conceptual framework aims to support reflective teaching practice and inform future empirical research, contributing to the evolving discourse on AI-assisted creativity in vocational art teacher education.

Fostering Sustainable Learning through AI-Supported Flipped Classrooms: A Conceptual Framework for Enhancing Self-Regulated Learning in Chinese College English Listening Instruction

2025-06-05T09:30:20+07:00

This study constructs a conceptual framework to integrate AI-supported flipped classrooms with self-regulated learning (SRL) in English listening teaching in Chinese universities. Referring to Zimmerman's (2000) SRL cycle theory, the framework integrates AI tools and flipped teaching to solve the problems of passive learning. AI customizes pre-class content and provides real-time feedback to help students plan and monitor their learning independently. Classroom activities promote collaborative reflection and connect individual and social learning. By cultivating self-regulated learning habits and long-term motivation, the framework meets the needs of post-epidemic education resilience. Although this integration can increase participation and relieve anxiety, its effectiveness depends on the fairness of technology access and the balance between teachers. In order to overcome infrastructure differences and avoid indicator dependence, this study advocates a mixed implementation of high- and low-tech strategies to achieve fair promotion. This study regards AI as a boost to SRL cultivation, reshapes the concept of language education, and highlights the synergy between technology, teaching methods, and learner autonomy.

Navigation safety and risk management verification mechanism for Maritime Autonomous Surface Ship

2025-06-05T09:57:12+07:00

This study proposes a systematic verification mechanism for navigation safety and risk management of Maritime Autonomous Surface Ship (MASS). Through the mechanism to ensure the impact of the verification process of the relevant functions of maritime surface autonomous sailing ships and smart ships on the current actual maritime operating environment. The mechanism also examines the potential risks of innovative technologies to the internal and external environment through the collaboration of interdisciplinary experts and scholars. Then, evaluate whether to modify the operating norms and legal and regulatory requirements from the inside out. The research results provide an effective and systematic empirical verification mechanism for introducing innovative technology in the future society

A A Study of Electric Vehicles (EV) Purchase Intention: The Perspective of Sustainability

2025-06-05T09:47:27+07:00

In Taiwan, a specific policy is to achieve ‘Net-Zero’ by 2050; thus, the Taiwanese government's announcement to ban the sale of gasoline-powered cars by 2030 and gasoline-powered motorcycles by 2040 to achieve this goal. With the rise of environmental awareness, the driver of governmental policy, and the introduction of the value of green consumption, we expect consumers' consumption habits to be gradually reshaped. To fit this gap, we propose a sustainability research model to assess consumers’ EV purchase intention in this study. We apply the Theory of Planned Behavior (TPB) as the research framework with external cues(stimuli), such as green advertising exposure, government incentive policies, environmental concern, knowledge of electric vehicles, and perceived value. This study collected 341 valid questionnaires, and SPSS 25 software was used to analyze and confirm the validity of all hypotheses. Our findings show that governmental incentive policy is the most critical factor, following environmental concerns on EV purchase intentions. We also examined the controlled variables of socioeconomic and demographic variables' influences on purchase intention. Our results corresponded with previous studies in which socioeconomic status, life stages, and age show different purchase intentions. The final section proposes valuable insights for EV marketing management and practical, sustainable policymaking reference.