Classical Chinese poetry contains rich natural imagery whose cultural connotations remain underexplored in digital communication contexts—particularly with respect to how such imagery shapes contemporary audience psychology. This study examines the psychological mechanisms through which natural imagery in the Book of Songs activates place attachment in contemporary audiences, integrating AI (Ar...

Smart tourism technology (STTs) is increasingly being used by agritourism locations in Vietnam to help travellers prior to, during, and following their travels. However, there is little empirical data on how digital technologies function that affect visitors' intentions to return, especially in rural and agritourism. Based on the expectation-confirmation paradigm and smart tourism studies, this...

This study examines that digitally regenerated auspicious pattern designs may suggest meaningful influence on cultural memory awakening among young urban populations. Moreover, the significant findings could indicate that environmental psychology and social psychology provide the key theoretical foundation for a four-dimensional progressive framework: digital design perception → emotional reson...

Languages can be intertwined in the dramatic arts. Language is a vital human tool for communication. The study explored the challenges and opportunities of trilingual pedagogy, which bridges English, isiXhosa, and isiZulu, in Grade 10 dramatic arts education through Nearpod. By employing a mixed-methods approach, qualitative through a case study of one school and quantitative through a survey o...

Research integrity education may demonstrate that these programs establish critical foundations for maintaining healthy academic ecosystems. The traditional educational approaches might indicate limitations including insufficient interactivity and low personalization. Moreover, this study could examine a generative conversational agent system for research integrity education. The system appears...

Generative AI technology such as ChatGPT, Grammarly, and DeepL has changed the way linguistic learning occurs. Although such technologies can be of great benefit in terms of linguistic scaffolding, overuse can disrupt learner autonomy by diminishing cognitive activities and metacognitive monitor. The study focuses on the impact of AI-mediated learning on the autonomy of Jordanian English as a F...

This paper investigates whether supply chain resilience serves as a mediator in the relationship between supply chain risk management and firm performance in China's manufacturing industry, leveraging big data analytics and digital technologies to fill the theoretical void on how risk management practices contribute to financial performance in the digital era. Applying resource-based theory and...

Programming education continues to face significant challenges, with failure and dropout rates exceeding 30% in many introductory courses. Existing learning analytics approaches largely rely on static behavioral indicators derived from the Felder–Silverman Learning Style Model (FSLSM), which often fail to capture the temporal dynamics of learning and the syntactic complexity involved in program...

This study explores how artificial intelligence (AI) tools influence the development and improvement of academic writing practices in higher education. To address this objective, a systematic literature review (SLR) was conducted to examine scholarly work related to the use of AI in academic writing. An initial search identified 199 documents, from which 32 studies were retained after applying ...

Using the three-proof method combining academic papers, policies, patents and so forth, this paper analyzes and compares 15 representative global cases in depth, and finds out for the first time: (1) An ecological element contribution elasticity coefficient of 0.234 proves that natural capital has its own independent economic value, and globally, the synergetic effect level is 0.86, realizing s...

In recent years, artificial intelligence has developed quickly, which is changing the English teaching and training in a radical way; the focus is shifting from the original mode to smart tools and software. In light of this, we adopted mixed research methods to investigate such changes in the present study. The research lasted for 16 weeks, using a quasi-experiment research method. Specificall...

Generative artificial intelligence tools offer transformative potential for English language learners, yet the factors driving their adoption remain insufficiently understood, particularly in Arab higher education contexts. This study examined AI tool adoption among undergraduate English learners at the University of Hail, Saudi Arabia, using the Unified Theory of Acceptance and Use of Technolo...

This study aims to investigate the interrelations among digital innovation, risk management, resilience, and performance in supply chain contexts, in which technology utilization is conceptualized as a moderator. Based on the concepts of dynamic capabilities and the resource-based view, the proposed model suggests risk management and resilience as sequential mediators between digital innovation...

This study proposes a dual-dimensional framework to design such technologies in the EdTech industry using the conceptual framework methodology, which is based on thematic content analysis and theory-driven and evidence-based validation using scholarly literature, industry reports, and policies from the top EdTech organizations worldwide. The framework identifies trustworthiness as the key const...

The user interface design of an application is not limited to applications in the field of informatics, but also applies to various fields that utilize information technology. This also applies to educational evaluation. A good evaluation application is the result of a good user interface design. The aim of this study is to demonstrate the user interface design of the JOFF (Justification–Observ...

This review discusses the significant advances in the architecture of memory systems, the enhancement of which has been among the most significant concerns in the process of creating systems with high bandwidth and low latency requirements. It has analyzed various fields that include virtually pipelined systems, millimeter-wave interface, and enhanced memory controllers, which would meet the re...

This research investigates the dynamic relationship of Artificial Intelligence (AI) and Sociolinguistics through bibliometric mapping in association with keyword content analysis. Utilizing 69 extracted publications (2013–2024) after systematic deduplication, the study combines quantitative trend analysis with keyword-based thematic interpretation. From an initial collection of 98 records obtai...

The paper is located within the dynamic relationship between language and computing, with the central objective being an increase in knowledge about how individuals interact with digitally mediated communication. Precisely, the paper attempts to explore the use of emojis as a tool of the digitally mediated communication system from a linguistic perspective, especially within the pragmatic and s...

The use of algorithmic decision systems is being expanded to high-risk areas like credit, recruiting, and distributing government resources. Despite the fact that these systems are usually claimed to be objective and efficient, there have been apprehensions about the likelihood of structural inequalities being perpetuated by the systems. This paper examines the effect of a fairness-aware pre-pr...

This study investigates how three personality traits from the Big Five framework—extraversion, neuroticism, and conscientiousness—influence individuals’ continuance intention to use ChatGPT, with a particular focus on the mediating roles of Perceived Ease of Use (PEOU) and Perceived Usefulness (PU). Drawing on the Technology Acceptance Model (TAM), this research aims to integrate personality-ba...