Journal of China-ASEAN Studies

Interpreting for Tourism: Enhancing Communicative Competence through Peer and Self Evaluation

Yi-Hsuan Lin, Yu-Ching Tseng — Tue, 30 Jun 2026 00:00:00 +0700

This study examines how short consecutive interpretation tasks in a tourism context enhance EFL (English as foreign language) university students’ spoken communicative competence from a cognitive language learning perspective. Grounded in the noticing and output hypotheses, it investigates whether real-time interpreting promotes learners’ awareness of linguistic and discourse-level deficiencies through active verbalization, peer assessment, and self-reflection. English-major students interpreted authentic travel guide content from Chinese into English and received structured peer feedback. Performances were evaluated using CEFR-based descriptors, and peer and instructor ratings were compared using t-tests. Qualitative analyses of peer comments and reflective writing from the interpreting students further explored perceived communicative weaknesses.

Results showed close alignment between peer and instructor ratings in range, accuracy, fluency, and interaction. However, peers consistently rated discourse coherence more favorably than instructors, suggesting limited sensitivity to global discourse organization under high cognitive load. Reflective writing enabled students to identify lexical, grammatical, and strategic gaps and consider alternative communicative approaches. The findings indicate that short consecutive interpretation functions as an effective output-driven task that fosters noticing and communicative development. The study recommends embedding profession-specific interpreting tasks, structured peer assessment, and guided reflective practice into English for Specific Purposes (ESP)-oriented EFL curricula, with explicit instruction in discourse coherence.

The Affect Mechanism of AI Strategic Orientation on Aerospace Industry Enterprise Innovation Agility

Li Lei, Chuensumon Bunnag, Yalin Pang, Xiaojuan Zhang, Ke Zhang — Tue, 30 Jun 2026 00:00:00 +0700

Today, artificial intelligence technology determines the efficiency and sustainable development of corporate innovation, with AI strategic orientation closely linked to an enterprise's capacity for rapid and precise implementation of innovative outcomes. Consequently, this study employs knowledge management theory to investigate the relationship between AI strategic orientation and innovation agility within aerospace industry enterprises in Xi'an city, Shaanxi Province, China. It further examines the mediating role of collective intelligence and the moderating effect of sustainable leadership. Conducted in January 2026, this study employed purposive sampling and virtual questionnaires to collect data from employees across 19 aviation enterprises in Xi'an city, Shaanxi Province, China. A total of 1,039 valid questionnaires were received (yielding an 86.58% response rate). Utilising quantitative research methods, statistical techniques including correlation, mediation, moderation, and mediational moderation were applied to test the hypotheses. The results showed that the AI strategic orientation was positively correlated with innovation agility, and collective intelligence had a mediating effect, and sustainable leadership moderates the direct effect of AI strategic orientation on collective intelligence, and the indirect effects of sustainable leadership on collective intelligence through innovation agility within aerospace industry enterprises in Xi'an city, Shaanxi Province, China.

Reconstructing and Translating Indigenous Ecological Culture Under the Impact of Innovative Technologies

MIN HUI KAO, PO-CHIH CHIU, LIANG YUN WANG — Tue, 30 Jun 2026 00:00:00 +0700

Rapid advances in innovative technologies - such as artificial intelligence (AI), unmanned

vehicles, automated sensing systems, and genetic modification-are profoundly reshaping the

conditions under which Indigenous traditional ecological knowledge (TEK) and socio - cultural

practices are sustained. These transformations raise not only practical concerns but also

ontological questions regarding cultural continuity and emerging forms of digital colonialism.

This study examines how the introduction of innovative technologies restructures social order

and food-related cultural practices within Indigenous communities, with particular attention to

Austronesian groups in Pingtung and Taitung, Taiwan. Drawing on science and technology

studies (STS), cultural anthropology, agricultural biotechnology, and information engineering,

the study conceptualizes a culturally resilient socio-technical network (STN) as an analytical

framework for understanding these transformations. This research project extends to four sub

projects to carry out concrete actions: hoping to promote national digital transformation while

implementing the spirit of diversity, equity, and inclusion (DEI) and social reconciliation,

ensuring a deep dialogue between technological development and social needs, so that

innovative technologies become guardians rather than substitutes of indigenous cultures.

Application of RWA in Taiwan's Agricultural Insurance: Based on Parametric Contracts and Decentralized Liquidity

Shun-Ming Chang, PAI-LUNG CHOU, MENG-HSIANG HSU — Tue, 30 Jun 2026 00:00:00 +0700

Over the past several years, the accelerating impact of global climate change has left

Taiwan’s agriculture increasingly vulnerable to the risks of extreme weather phenomena

including typhoons, torrential rains, and cold surges, leading to high economic losses. While

conventional agricultural insurance is subsidized by the government, it consistently

experiences three primary problems: high loss adjustment costs, delayed claim settlements, and

low underwriting appetite in the reinsurance market. This study aims to explore the feasibility

and application framework of deploying Real-World Asset (RWA) tokenization technology in

Taiwan's agricultural insurance system. In this research, an "RWA Parametric Agricultural

Insurance Model" is suggested that integrates Internet of Things (IoT) meteorological data,

blockchain smart contracts, and Decentralized Finance (DeFi) liquidity pools. Thanks to a

tokenization model involving agricultural insurance policies and claim capital pools, smart

contracts can be used by these systems so as to achieve truly objective and automated "second

level settlements." Moreover, Taiwan’s agricultural risks can be bundled into an RWA financial

package to raise global Web3 market reinsurance capital, addressing the shortage of domestic

capital momentum. Thus, this study concludes that the RWA model reduces adverse selection

and moral hazard effectively, offering a practically valuable innovative path to the digital

transformation of agricultural finance in Taiwan.