Volume 26

DOI:http://doi.org/10.65613/741899 Dr. Sophia Bertha Chinese Department, Suqian College, Suqian223800, Jiangsu,China e-mail:  nianbiandong @163.com Abstract：Chinese classical poetry, as the core carrier of traditional Chinese culture, bears the dual functions of language inheritance and cultural education in basic Chinese education. In the era of digital education transformation, teachers’ comprehensive literacy integrating digital technology and cultural cognition has become a key variable affecting the quality of classical poetry teaching. Based on the improved Culture-DPACK theoretical framework, this study constructs a multi-dimensional influence mechanism model of teachers’ digital-cultural literacy on Chinese classical poetry teaching effect. Through questionnaire survey and path analysis of 426 Chinese teachers in primary and secondary schools, this study systematically explores the direct path, indirect path and regulatory boundary of digital-cultural literacy acting on poetry teaching effect. The research results show that teachers’ five-dimensional literacy of Culture-DPACK (intrinsic knowledge literacy, traditional pedagogical literacy, digital literacy, digital humanities pedagogical literacy, general cultural literacy) all have significant positive predictive effects on classical poetry teaching effect. Among them, digital humanities pedagogical literacy has the strongest direct influence, and general cultural literacy plays a core mediating role in transforming technical ability into teaching quality. Classroom cultural immersion and digital teaching adaptation present significant dual regulatory effects. This study clarifies the internal logical relationship between teachers’ literacy structure and poetry teaching practice, expands the application boundary of the Culture-DPACK framework in traditional cultural teaching, and provides empirical support and optimization paths for the digital and high-quality development of Chinese classical poetry teaching. Keywords: Digital-Cultural Literacy; Chinese Classical Poetry; Teaching Effect; Culture-DPACK Framework; Path Analysis 1. Introduction 1.1 Background of Teaching Reform: Digital Empowerment for Traditional Poetry Inheritance Chinese classical poetry is a treasure of traditional Chinese culture, condensing the aesthetic connotation, humanistic spirit and historical heritage of the Chinese nation. It occupies an irreplaceable core position in Chinese curriculum teaching and cultural inheritance education. In the context of the new curriculum reform, basic education has clearly put forward the educational goal of “cultivating students’ cultural confidence and humanistic literacy”, and higher requirements have been placed on the depth and effectiveness of classical poetry teaching. Traditional classical poetry teaching mostly adopts the teaching mode of text interpretation, sentence translation and mechanical memorization, which is limited by single teaching method and shallow cultural excavation[1-3]. It is difficult to activate students’ perceptual experience of poetic aesthetics and cultural connotation, resulting in the disconnection between poetry teaching and cultural inheritance, and the dilemma of “memorization without comprehension, learning without appreciation” in teaching practice. With the comprehensive penetration of digital education technologies such as big data, virtual simulation and intelligent classroom, digital transformation has become an inevitable trend of basic Chinese education. Digital technologies break the time and space limitations of traditional classroom teaching, and provide diversified presentation forms and interactive paths for the display of poetic artistic conception, interpretation of cultural connotation and inheritance of classical aesthetics. However, the empowerment effect of digital technology on poetry teaching is not automatic. The teaching effect depends entirely on teachers’ comprehensive ability to integrate digital technology, cultural cognition and pedagogical skills. Teachers’ digital-cultural literacy, as a compound literacy integrating technical operation, cultural understanding and teaching design, has become the core key to determine whether digital technology can effectively empower classical poetry teaching and realize the deep integration of technical tools and cultural education[4]. 1.2 Research Gaps: Deficiencies in Literacy Mechanism and Framework Application Existing studies on classical poetry teaching mainly focus on three dimensions: teaching method innovation, classroom teaching design and student learning effect optimization. Most studies explore the application effect of single digital technology in poetry teaching, or discuss the teaching strategies of cultural infiltration in poetry classroom. In terms of teacher literacy research, domestic and foreign scholars mostly focus on the independent research of digital teaching literacy or traditional cultural literacy, and there is a lack of systematic research on the compound digital-cultural literacy adapted to traditional cultural teaching. In particular, the internal influence mechanism of teachers’ multi-dimensional literacy on poetry teaching effect is still unclear, and there is a lack of empirical path verification based on mature theoretical frameworks. The Culture-DPACK framework, as an improved theoretical system based on the traditional TPACK model for Chinese language teaching scenarios, constructs a multi-dimensional literacy structure integrating knowledge, pedagogy, digital technology and cultural cognition, which is highly compatible with the research theme of this study. However, the current application of the Culture-DPACK framework is mostly limited to the scale development and literacy evaluation of Chinese teachers, and there is no in-depth discussion on its internal mechanism acting on specific curriculum teaching effects. In view of this, this study takes the Culture-DPACK framework as the core theoretical support, constructs an influence mechanism model of digital-cultural literacy on classical poetry teaching effect, and verifies the action path and influence intensity of each dimension through empirical analysis, so as to make up for the research gaps in the field of poetry teaching literacy research. 1.3 Research Significance: Theoretical Innovation and Practical Value In terms of theoretical significance, this study expands the application scope of the Culture-DPACK framework from teacher literacy evaluation to curriculum teaching mechanism research, clarifies the multi-dimensional structure of teachers’ digital-cultural literacy in classical poetry teaching scenarios, and reveals the direct, indirect and regulatory paths of each literacy dimension affecting teaching effect. It constructs a systematic theoretical system of “literacy structure-behavior practice-teaching effect” for traditional cultural curriculum teaching, which enriches the theoretical research achievements of digital education and traditional cultural teaching. In terms of practical value, this study verifies the key literacy dimensions and core action paths that affect the quality of classical poetry teaching, provides targeted optimization strategies for teachers’ digital-cultural literacy improvement and poetry digital teaching reform, and helps to solve the practical dilemmas of superficial digital application and insufficient cultural infiltration in current poetry teaching[5]. It provides empirical basis and practical reference for educational administrative departments to formulate teacher training plans and promote the high-quality development of traditional cultural education. 1.4 Research Framework and Technical Route This study follows the

The rapid maturation of large language models (LLMs) and of prompt engineering as a systematic design discipline has created new opportunities to reform legal governance and regulatory oversight. Traditional regulatory institutions face three persistent pressures: information overload, interpretive inconsistency across reviewers, and slow reaction to emerging societal risks. This paper proposes and evaluates an integrated computational framework, the AI-assisted Legal Governance System (ALGS), which combines LLM prompt engineering, legal natural language processing, machine learning, and legal knowledge graphs within a single regulatory decision-support pipeline. ALGS is organised as four interdependent layers: data ingestion and pre-processing, an AI analysis engine, knowledge representation and reasoning over a typed legal knowledge graph, and a decision support interface. Its central methodological contribution is a hierarchical prompt architecture that decomposes complex legal analysis into an ordered sequence of narrowly scoped sub-tasks, so that provision identification, fact extraction, requirement-by-requirement evaluation, and regulatory gap analysis are performed in discrete, individually auditable steps rather than in a single opaque inference. Every step is grounded in retrieved authority and accompanied by a calibrated confidence score, which together with the assessed risk of the matter determines which of three tiers of human review the output receives. We evaluate the framework on regulatory and contractual corpora, including United States Securities and Exchange Commission periodic filings and commercial contract collections, together with a pilot deployment in a commercial court. ALGS attains an accuracy of 0.871 and an F1-score of 0.819 on regulatory risk classification, corresponding to a 23.9% relative improvement in accuracy over a logistic-regression baseline and an 8.7% relative improvement in accuracy over a fine-tuned LEGAL-BERT baseline, while reducing human review time by 41.2% on the compliance classification task. We further examine the ethical and constitutional constraints on AI autonomy in legal decision-making, including bias mitigation, explainability, and the principle of meaningful human oversight. The results indicate that carefully engineered prompt architectures can materially strengthen regulatory capacity while preserving the due-process and rule-of-law commitments that legitimate legal decisions require.

Purpose In the post-industrial era, digital technology is reshaping the logic of cultural production. Against this background, this study examines how cultural embedding in brand narratives relates to innovation on short video platforms through a cross-platform comparison between Douyin and TikTok.

The Shanxi section of the Yellow River Basin is both a core area of the Loess Plateau and a national energy base. It is subject to the combined pressures of an arid climate, fragmented terrain, and coal-mining disturbance. However, the ecological cooling effects of urban wetland parks (UWPs) and their underlying driving mechanisms remain unclear in this region. This study examined 181 UWPs in the Shanxi section of the Yellow River Basin. Land surface temperature (LST) was retrieved from Landsat 8/9 remote-sensing imagery. Two indices, UWP cooling intensity (UWPCI) and UWP cooling efficiency (UWPCE), were then constructed to quantify the cooling effect. Twenty natural and anthropogenic driving factors were integrated into the analysis. Random forest (RF) and SHAP methods were used to identify the dominant driving mechanisms, while Geodetector was applied to examine spatial stratified heterogeneity. The results showed that: ① The mean UWPCI was 1.85 ± 0.42 °C, and the mean UWPCE was 0.31 ± 0.09. Spatially, high values were clustered in the central urban agglomeration, whereas low values were scattered across the western gully region. ② For UWPCI, the dominant drivers were internal water ratio (Wat_in, 32.7%), gully density (GD, 18.9%), and external impervious surface ratio (Imp_out, 12.4%). For UWPCE, park area (PA, 28.3%), coal-mining disturbance intensity (CMDI, 22.1%), and park shape index (PSI, 11.6%) were the leading factors. ③ Significant threshold effects were also detected. The marginal cooling benefit decreased when Wat_in exceeded 65%. UWPCI declined by approximately 40% when GD exceeded 2.5 km/km². UWPCE tended to become ineffective when CMDI was greater than 0.6. ④ Subregional differences were evident. In the western gully region, GD and CMDI jointly constrained the cooling effect, with an interaction contribution of 142.6%. In the central urban agglomeration, Wat_in and Imp_out were dominant. In the southern valley region, PA and Wat_in showed a coordinated optimization pattern. This study reveals the distinctive driving mechanisms of UWP cooling effects in coal-mining areas of the Loess Plateau. It proposes a differentiated optimization strategy based on zoning-based classification, threshold-based regulation, and mine–wetland coordination. The findings provide scientific support for ecological restoration and territorial spatial planning in arid and semi-arid regions

The difficulties in engineering audit data verification lie in the evidence gap among on-site facts, contract rules, measurement and payment, and responsibility attribution. Blockchain and smart contracts provide new governance interfaces for this gap, but existing research is scattered in adjacent fields such as construction contract management and Audit 4.0, and has not yet formed a comprehensive explanation for engineering audit. Based on the PRISMA approach, this paper searches and screens relevant literature, combines the evidence mapping method, and reconstructs the knowledge structure of this field around “input of facts – translation of rules – execution of contracts – anchoring of evidence – audit feedback”. The study shows that the role of smart contracts in engineering audit is not to replace audit judgments, but to embed verifiable items in the project process, converting engineering quantities into traceable audit events. The literature also reveals that the real bottleneck does not lie in the chain-based evidence storage, but in whether the facts can be trusted to enter the contract, whether the contract rules can accommodate the engineering context, and whether the contract execution results can be recognized by the system. Based on this, this paper proposes a hierarchical mechanism framework and future research agenda for engineering audit data verification, emphasizing trusted oracles, BIM-IoT-chain integration, and privacy protection verification as the main lines of subsequent research.

In the context of the continuous digital transformation of education, teachers are increasingly expected to play leading roles in technology integration, pedagogical innovation, and relational coordination. However, existing studies on teachers’ digital leadership have largely been dominated by competency-based frameworks, policy-oriented analyses, and quantitative measurement models, with relatively limited attention paid to the cultural meanings embedded in everyday educational practice. From an anthropological perspective, teachers’ digital leadership is not merely a manifestation of technological competence or organizational function, but also a culturally situated process enacted through ritualized practice and symbolic interaction.Drawing on symbolic interactionism and ritual theory, this paper interprets teachers’ digital leadership in the educational field through typical scenes such as teaching-research activities, digital classroom teaching, and home-school collaboration. It argues that teachers’ digital leadership is constructed, performed, and recognized through repeated interaction, symbolic expression, and situational negotiation. Digital tools, professional discourse, and routine educational practices all function as symbolic resources through which teachers establish legitimacy, coordinate relationships, and shape professional identity. The study further reveals that digital leadership is deeply embedded in the cultural order of schooling, where authority is not simply granted by institutional position but continuously reproduced through meaningful social practice.By shifting the analytical focus from measurable competence to interpretive understanding, this paper expands the conceptualization of teachers’ digital leadership and offers a culturally grounded perspective for understanding digital educational reform. It also highlights the value of anthropological interpretation in uncovering the hidden meanings of educational change in everyday school life.

In the face of the severe global challenges posed by climate change, green development has become essential for corporate sustainability. Green mergers and acquisitions (M&A) serve as a pivotal strategy in this transformation. Drawing on signaling theory, this study investigates the effect of transition climate risk on green M&A, while also examining the moderating roles of government subsidies and investor attention. Using data from Chinese A-share listed companies over the period from 2013 to 2023, we apply logistic regression for empirical analysis. The results show that transition climate risk significantly drives green M&A activities, with government subsidies and investor attention further amplifying this effect. This study extends the application of signaling theory to the context of transition climate risk and green M&A, offering theoretical insights for both corporate strategy and policy development.

This work examines how limits in obtaining funds affect the degree to which firms use resources well in investment activities. The analysis follows a pattern that connects limits in funds to problems in information and costs from separation of control, and these factors relate to investment that occurs at levels that differ from what is appropriate. The argument suggests that limits in obtaining funds affect investment in ways that operate through limits in the amount of funds, the time that funds are available, and the cost of funds, and these limits reduce investment that would produce value. The work also shows that changes involving digital methods, release of information on data that firms control, approaches to funds that support environmental aims, and protections from institutions can make the degree to which investment is appropriate higher through making information better in quality, making oversight from outside the firm stronger, and making the distribution of funds work better.

Blockchain is rapidly proliferating a profound transformation across accounting and auditing. This paper offers an integrative review of its principal streams of influence. From an accounting information systems perspective, blockchain alters the design of information recording, storage, and processing through a distributed-ledger enabled triple-entry bookkeeping and embedding automated control over business processes through the use of smart contracts. As regards auditing, the a