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Exploring Student Engagement in a Multiple-Interaction Environment: GAI, Peer, and Teacher Feedback in L2 Writing from an Ecological Perspective
Get PDFOver the past decade, scholarly attention to how learners engage with feedback significantly grown within Second Language Acquisition (SLA) research. However, few studies have examined learner engagement with feedback in a multiple-interaction environment composed of generative artificial intelligence (GAI), peer, and teacher feedback. Grounded in the ecological affordance theory, the present study investigates the feedback engagement of eight non-English major undergraduates in a multiple-interaction environment within an EFL writing context. This study was carried out by analyzing written texts, questionnaires, stimulated recall interviews, and semi-structured interviews, with an emphasis on the behavioral, affective, and cognitive aspects of engagement. The findings reveal: (1) Three types of learner feedback engagement were identified: peer-teacher oriented type, GAI-teacher oriented type, and GAI-peer-teacher oriented type; (2) While correlations exist among the three dimensions of feedback engagement, discrepancies between cognitive engagement and affective or behavioral engagement were observed, particularly in GAI feedback stage; (3) GAI’s continuous mediation in some learners’ writing revision processes significantly influenced their engagement with the other two sources of feedback. These results offer both theoretical and practical implications for fostering students’ feedback literacy within intelligent education contexts and optimizing the design of multi-source feedback systems
Transforming General Computer Literacy Education: The Role of Generative AI in Online Teaching
Get PDFTo further optimize the online teaching model of general computer literacy courses and fully leverage the driving force brought by Generative Artificial Intelligence (GenAI), this study analyzes current challenges in online education, such as insufficient personalization of learning resources, weak student self-directed learning abilities, limited interactivity, technological dependency, ethical concerns, and the need for redefining teachers and students roles. The paper explores GenAI applications across teaching, learning, and assessment dimensions. It proposes an implementation pathway through three key strategies: Intelligent upgrading of teaching management systems, construction of student modeling mechanisms, and development of a structured framework for online computer literacy instruction. This research aims to provide theoretical and practical insights for advancing GenAI integration in educational practices and digital transformation
Remodeling Place Spirit under Globalization —— Constructing a Global Sense of Place in Urban Society
Get PDFGenius Loci refers to the significance, value, uniqueness, history, culture and spiritual temperament of a place, which is where people's sense of place identity and belonging. However, in the process of the development of local culture, the spirit of place tends to be alienated into a force of confrontation. Racism has appeared in history and found its "legitimacy" in it. Therefore, for the urbanization development under the tide of globalization, to rebuild the spirit of place, it is necessary to adhere to the value orientation of global sense of place, and establish open and inclusive local values that are both diverse and unique. As a new spirit of place, the global sense of place plays a dialectical role in guiding the value of China's urbanization. This requires that on the one hand, we should emphasize the openness and inclusiveness of local development; On the other hand, we should also protect the uniqueness of the place. Openness and inclusiveness do not mean homogenization. After all, local characteristics are one of the important sources of China's cultural confidence
A Robust SLAM System Enhanced for Degenerate Motion Scenarios via Semantic Filtering and Bayesian Motion Consistency
Get PDFDynamic SLAM methods based on epipolar constraints provide a simple and efficient solution for distinguishing dynamic features. However, such constraints tend to fail under geometrically degenerate motion sce-narios, such as pure rotation, long-range linear motion, or coplanar scene structures, leading to misclassification of dynamic features, trajectory drift, and inaccurate map reconstruction. To address these challenges, a parallel SLAM framework is proposed, integrating semantic guidance, degeneracy-aware dynamic feature discrimination, and robust keyframe selection to handle degenerate motions. Without requiring inertial measurements, the proposed method relies solely on visual information to enable dynamic fea-ture removal, avoiding IMU drift. Specifically, a lightweight object detection module is introduced using the fast and compact YOLO-FASTEST model, enabling efficient semantic perception to provide prior information for dynamic point removal. Furthermore, a multi- frame Bayesian motion consistency criterion is proposed that jointly considers camera motion priors and observation residuals of feature points to enable dynamic feature discrimination in degenerate scenarios. In addition, an adaptive multi-metric keyframe insertion strategy is designed, jointly considering pose change magnitude, image entropy variation, and the ratio of constrained pixels, to enhance keyframe selection under motion-degenerate scenes. Experimental results demonstrate that the proposed method achieves superior trajectory accuracy and map completeness under various dynamic interference conditions, while maintaining real-time performance
Mineralization Reaction Behavior during CO2 Flooding in Reservoirs
Get PDFCO2 flooding is a promising technology for enhancing oil recovery while achieving geological CO2 storage. Under high‑temperature and high‑pressure reservoir conditions, CO2 dissolves in formation water to form carbonic acid, which reacts chemically with the reservoir rock minerals to achieve safe CO2 storage. Currently research on mineralization reactions during CO2 flooding in oil reservoirs remains limited, the characteristics of such reactions under different conditions and their impact on rock physical properties are not well understood. This study conducted static dissolution experiments to investigate the effects of various factors such as reservoir temperature, pressure, salinity, and oil saturation on the reaction behavior of the CO2-crude oil-water-rock system. The results indicate that CO2 dissolved in water can dissolve minerals such as calcite in the rock samples, leading to increased porosity and permeability. Although higher temperature promotes mineralization reactions, it also reduces the solubility of CO2 in water, resulting in an overall weakening of reaction intensity. As reservoir pressure rises or formation water salinity decreases, the extent of mineralization intensifies and the rock dissolution rate increases. However, the presence of crude oil inhibits the mineralization reaction between CO2 and rock, increasing oil saturation from 20% to 70% reduced the mineral dissolution rate by roughly 94% (from 3.77% to 0.22%), indicating a significant shielding effect
A Case Study on Treating Narcolepsy from the Perspective of Strengthening the Spleen and Promoting Digestion
Get PDFNarcolepsy is a rare sleep disorder characterized by uncontrollable daytime drowsiness, paroxysmal cataplexy, sleep paralysis, sleep hallucination and night sleep disorder, with unknown pathogenesis and younger onset.The western medicine used in this disease has strong dependence, drug resistance and great adverse reactions; Traditional Chinese medicine treatment has the advantages of good curative effect and little adverse reaction.According to the symptoms, Chinese medicine classifies the disease as "sleepiness", "lethargy" and "drunken meal", and treats it mostly from the spleen.Based on the patient's symptoms, signs, medical history and tongue and pulse, it is distinguished as a syndrome of dietary stagnation. The main treatment methods are to eliminate food and guide stagnation, strengthen the spleen and eliminate phlegm, awaken the brain and open the orifices.Oral treatment of traditional Chinese medicine combined with External treatment of acupuncture have achieved good results, providing clinical ideas and basis for the clinical treatment of narcolepsy
Innovation Spillovers from Core Enterprises' Digital Transformation: Evidence from Client-Supplier Relationships
Get PDFDrawing upon supply chain data from Shanghai and Shenzhen A-share listed companies between 2007 and 2022, this study examines the impact of core enterprises' digital transformation on suppliers' innovation. Findings reveal that digital transformation in core enterprises stimulates suppliers' innovation, with a stronger effect on substantive innovation than on strategic innovation. Mechanism analysis indicates that core enterprises' digital transformation primarily drives supplier innovation through financial spillovers, knowledge spillovers, and innovation facilitation. Heterogeneity analysis reveals that the promotional effect is more pronounced when client-supplier relationship dependency is low, suppliers operate in high-tech industries, and suppliers are non-state-owned enterprises. Adopting a supply chain perspective, this study refines the existing research on client enterprises' digital transformation influencing supplier innovation, offering insights for advancing corporate innovation and fostering collaborative innovation within supply chains
Research on the Influence of Digital Inclusive Finance on New Agricultural Productivity
Get PDFWith the deep integration of digital technology and financial services, digital inclusive finance is constantly showing its unique advantages-inclusiveness and efficiency. This study is devoted to revealing how digital inclusive finance has injected a steady stream of powerful forces into the new agricultural productivity while promoting the development of the new agricultural productivity, and also contributed to the agricultural reform. Based on the panel data of 30 provinces (autonomous regions and municipalities) in China from 2011 to 2022, this paper empirically tests the effect of digital inclusive finance on new agricultural productivity and its internal mechanism through two-way fixed effect model and intermediary effect model. The results show that digital inclusive finance can significantly improve the development of new agricultural productivity, and this conclusion is still valid after a series of robustness tests; The mechanism analysis shows that digital inclusive finance promotes the development level of new agricultural productivity through the high polarization of industrial structure; Heterogeneity analysis shows that the promotion effect of digital inclusive finance on new agricultural productivity is more significant in the southeast area of "Hu Huanyong Line" and high economic development areas; Accordingly, it is suggested to promote the deep integration of digital inclusiveness and agriculture in all directions, further optimize the allocation of rural industrial structure, and fully stimulate the potential energy of digital inclusive finance in rural areas. At the same time, implement the policy of regional differentiation, strengthen the regional balance of digital inclusive finance, and make full use of the "digital dividend" brought by digital inclusive finance to promote the development of new agricultural productivity
Reshaping Economic Management Models by Artificial Intelligence
Get PDFThe rapid development of artificial intelligence (AI) technology is profoundly transforming economic management models. This paper explores the applications of AI in economic forecasting, decision optimization, supply chain management, fintech, and human resource management, and analyzes its challenges and reshaping effects on traditional economic management models. The study shows that AI improves the efficiency and accuracy of economic management through big data analysis, machine learning, and automated decision-making, but also brings challenges such as data security, ethical issues, and employment structure adjustments. Combining existing literature and case studies, this paper proposes future development trends of economic management models and suggests that policymakers and business managers actively adapt to the changes brought by AI technology while strengthening regulation and ethical standards
Do FDI Inflows Encourage Domestic Currency Appreciation in Nigeria? Revisiting the Aliber’s Theory
Get PDFUsing annual series that span the period from1981-2022 and employing the ARDL framework, this study examines if FDI inflows lead to domestic currency appreciation in Nigeria. Finding indicates that in the short-run and the long-run, FDI inflows impacted negatively and significantly on exchange rate. Also, one period lag of interest rate impacted positively on exchange rate in the short-run but in the long-run the impact was negative. Net barter terms of trade also impacted exchange rate positively. The significant impact of FDI inflows on exchange rate provides an alternative view of the link between the two variables different from the postulation of Aliber’s hypothesis. Consequently, policymakers should weigh the benefits and costs of FDI inflows bearing in mind that continuous appreciation of the domestic currency occasioned by FDI inflows could adversely affect the terms of trade position.