2026 International Conference on Artificial Intelligence, Educational Innovation, Digital Economy and Information Technology

ISBN: 978-1-965471-15-9

Editorial Team : Peter Lee

The 2026 International Conference on Artificial Intelligence, Educational Innovation, Digital Economy and Information Technology (AIEDIT 2026) is dedicated to building a high-level international academic platform that promotes interdisciplinary dialogue and collaborative innovation. The conference aims to explore the dynamic integration of artificial intelligence, educational innovation, digital economy development, and information technology in the context of rapid global digital transformation. AIEDIT 2026 focuses on advancing intelligent education, strengthening digital economic growth, and fostering technological progress through cross-disciplinary exchange. By bringing together scholars, researchers, educators, policymakers, and industry practitioners from around the world, the conference encourages the sharing of academic achievements, theoretical insights, and practical experiences. Through open discussion and knowledge exchange, AIEDIT 2026 seeks to inspire new perspectives, promote sustainable development in education and the digital economy, and contribute to the intelligent transformation of society and industry. The conference aspires to serve as a bridge connecting global expertise and to support the long-term advancement of AI-driven research, educational modernization, and digital innovation worldwide.

Article Lists

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P1

Regional Inequality of Carbon Emissions in China and Its Influencing Factors Based on Quantitative Modeling and Factorization Algorithm

Author: Lingling Yin

1,5

Abstract: Regional heterogeneity in population, economy, and energy consumption has created significant spatial imbalances in China’s carbon emissions, complicating the allocation of provincial reduction targets. This paper employs the Theil Index to quantify regional carbon emission inequality across 31 provinces from 2012 to 2021, decomposing it into inter- and intra-regional components. An extended Kaya identity is used to assess contributions of four factors—energy structure, energy intensity, labor p...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P6

A Study on the Packaging Experience Design of Macao Herbal Tea Based on Emotional Design

Author: Gela Liu, Wanqi Chen, Chengcheong Lei

6,11

Abstract: Addressing the current market challenges faced by "Macao Herbal Tea," including monotonous packaging forms, stereotypical impressions of bitterness, and low acceptance among Generation Z, this study utilizes the three-level theory of emotional design as its core framework. It constructs a packaging design pathway for the Z generation: At the Visceral Level, sensory metaphors through visual, color, and graphic elements are employed to mitigate the stereotypical impression of bitterness; at the Be...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P12

Research on the Innovation of Daily Management Education Model for Remote Postgraduates in Colleges and Universities

Author: Qiang Chen, Ying Zhou, Qihang Su, Haoyu Wang, Yiming Che, Weifeng Zhao

12,17

Abstract: As universities increasingly expand their off-site campuses, managing postgraduates and delivering ideological education have become more complex. Common issues include disconnected management chains, scattered educational resources, and a fading sense of student identity. Addressing these governance gaps, this study reviews current practices and introduces a "Drive-Linkage-Activation" collaborative model, centered on Party building. Specifically, the model uses the "Party Building Drive" to sec...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P18

Research on Ethical Risks of Generative AI Applications in Higher Education

Author: Wenbing Chang, Yunxiao Zhao, Siting Cao, Fuping Zeng, Shenghan Zhou

18,25

Abstract: This study constructs a dual-track academic risk detection system that integrates deep learning and graph theory algorithms, based on a heterogeneous dataset of documents including student assignments and academic journal papers. Driven by rapid advances in large language models, generative AI has been widely applied in higher education. While enhancing educational efficiency, it incurs severe academic ethical risks. Conventional plagiarism detection methods fail to identify AI-generated and sem...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P26

Teaching Reform and Innovation of Color Design of Automobile Interior from the Perspective of CMF

Author: Xiaojing Zhang, Xiaojin Gao

26,35

Abstract: Under the dual impetus of the transformation of new energy vehicle architecture and the upgrading of consumption, the interior of automobiles, as the core carrier of user perception, is undergoing multi-dimensional paradigm reconstruction. The color design of automotive interiors has gradually become the core battlefield of CMF innovation, directly influencing brand recognition and user driving experience. This paper, starting from the perspective of CMF color research, explores the innovative p...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P36

Integrating Project-Based Learning with Teaching-Learning-Assessment Alignment: A Case Study of “Integrated Communication and Navigation Signal Design and Acquisition”

Author: Jing Peng, Jiachong Chang, Sixin Wang, Hongqi Yu, Hang Gong, Xiaohui Liu

36,42

Abstract: This study addresses the persistent gaps in engineering graduate education—theory application disconnection, insufficient practical demand traction, and one-dimensional assessment—by proposing a deeply integrated pedagogical model that merges project-based learning (PBL) with teaching-learning-assessment alignment. Using the engineering topic of “integrated communication and navigation signal design and acquisition” for low Earth orbit (LEO) constellations as a case, we detail the design rationa...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P43

The Transaction-Driven Performance of SSE Composite Index from year 2022 to 2024

Author: Junyi Huang, Yanjie Ji, Hanyu Lin, Huijuan Li

43,46

Abstract: This paper explores the dynamic linkage between the China’s stock market and some major economic indicators from May 2022 to December 2024. The results show that stock trading turnover significantly and positively affects SSE Composite Index prices, M1 has no effect on SSE, while the industrial value-added growth is negatively correlated with SSE. The findings reveal that during the volatile post-COVID period, China’s stock market performance has been dominated by the market transaction activiti...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P47

Design and Application of Case Teaching in Satellite Navigation Professional Education

Author: Zhenglin Geng, Xiaozhou Ye, Wei Xiao, Wenxiang Liu

47,53

Abstract: Addressing the tension between the rapid advancement of satellite navigation technology and the growing demand for specialized talent, this study focuses on the distinctive features of professional education and thoroughly explores the core value and systematic implementation pathways of case-based teaching in satellite navigation professional education. The research begins by elaborating on the strategic significance of satellite navigation systems in both military and civilian domains and the ...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P54

Research on Issues Related to the Application of wireless Communication Routing Protocols in Maritime Communication

Author: Yan Wang, XianYun Qi, PeiZheng Liu

54,61

Abstract: This paper analyzes the demand characteristics of three-dimensional island-seizure operations for wireless communication networks, conducts analytical research on the network layer routing protocols of existing wireless communication network, proposes optimization suggestions, and verifies the optimization mechanism through simulation to improve the comprehensive support capability of wireless communication networks.

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P62

An Internet-Integrated Improved Teaching Method in Professional English for Chinese Undergraduate Students in the Major of Building Environment and Energy Application Engineering

Author: Xin Zhang, Yue Liang, Xiaodong Dai, Yanping Xin, Kun Liu

62,69

Abstract: Proficiency in professional-English communication is critical for engineering undergraduates, yet many lack adequate systematic training in this area. To address this challenge, we propose a novel internet-integrated teaching approach that fuses professional vocabulary, complex sentence analysis, and extended professional passages with online digital tools and platforms for the professional-English curriculum of building environment and energy application engineering majors. To verify its effect...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P70

From Discipline-Oriented to Competency-Based: Research on a "Broad-Spectrum and In-Depth" Training Model for High-Level Talents in Cyberspace Security

Author: Yan Liu, Xiaoyu Guo, Ruixiang Li

70,79

Abstract: With the formal establishment of cyberspace as the "fifth domain" following land, sea, air, and space, the training of cybersecurity talents has evolved from a mere focus on technical education to a critical component of national security strategy. However, current graduate education remains constrained by traditional discipline-oriented linear models, facing triple challenges of skill supply-demand mismatch, the paradox of broad employment prospects versus narrow research fields, and a lack of ...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P80

Dynamic Evaluation and Incentive Mechanism Framework for Postgraduates' Academic Performance Stability

Author: Keyu Shi, Yuheng Yang, Shuhai Fan

80,83

Abstract: Against the backdrop of the Party and the state's emphasis on promoting educational evaluation reform and implementing process-based evaluation, this paper combines the process optimization concept of Industrial Engineering (IE) and data-driven thinking to construct a dynamic evaluation system covering the entire student learning process. In response to the shortcomings of the traditional "30/70" rigid scoring system, such as insufficient discrimination, inability to dynamically assess students'...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P84

Construction of a Process-based Evaluation System for Graduate Courses Driven by Industrial Engineering and Artificial Intelligence

Author: Yuheng Yang, Keyu Shi, Shuhai Fan

84,87

Abstract: Against the global backdrop of AI-integrated pedagogy, this paper develops an intelligent graduate course management framework by synthesizing Industrial Engineering (IE) optimization with AI technologies. To address passive classroom engagement and fragmented exam preparation, the study employs Lark Minutes for automated interaction quantification and an Ordinary Least Squares (OLS) model for performance prediction. This enables a tiered early-warning system and AI-driven personalized intervent...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P88

Customer Segmentation and Precision Marketing for E-commerce FMCG Brands Based on Clustering Analysis A Case Study of Bluemoon

Author: Tao Lin

88,94

Abstract: E-commerce FMCG brands face rising costs and low repurchase rates, yet traditional RFM models ignore cyclical consumption patterns. Using Bluemoon's 2021-2024 data (1,500 customers, 27,165 orders), this study adds two temporal features—purchase-interval CV and future purchase window—to RFM. K-Means clustering (K=3, Silhouette=0.14) yields three segments: Stockpile Routiners (29.7%), Lifecycle-Sensitive (38.2%), and Scenario Buyers (32.1%). Differentiated time-triggered and scenario-based strateg...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P95

AI-empowered smart teaching reform of embedded system courses for disciplinary competitions and industrial needs

Author: Xiaoling Zhang, Jianhui Li, Xunlin Chen

95,104

Abstract: Against the background of AI-empowered education, to better implement the Ministry of Education’s guideline of adopting a student-centered philosophy and comprehensively enhance talent cultivation capacity, this paper takes the course Principles and Applications of Embedded Systems for the electronic information engineering major at Dongguan City University as a case study, and explores a smart hierarchical project-based teaching reform path guided by disciplinary competitions and aligned with c...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P105

Strategic Transformation for Sustainable Manufacturing: A Review of Dynamic Capabilities and Organizational Performance

Author: Suru Feng, Nadratun Nafisah Abdul Wahab

105,115

Abstract: Against the background of increasing environmental pressure, rapid advances in digital technology, and rising stakeholder expectations, sustainable development has become an important strategic task for manufacturing firms. Strategic transformation is widely regarded as a key pathway to long-term competitiveness, yet firms often achieve very different outcomes from similar transformation efforts. This paper reviews research on strategic transformation, dynamic capabilities, and sustainable organ...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P116

Research on the Influence Mechanism of Clean Finance Culture in the Securities and Futures Industry from the Perspective of Perceived Organizational Support

Author: Boya Song

116,123

Abstract: This paper focuses on the theme of integrity risk prevention and control in securities and futures enterprises, and systematically explores the element identification mechanism and exogenous influence effects of the construction of a clean financial culture. In the qualitative research part, it identifies the "five-dimensional" element structure in the clean financial culture system of securities enterprises, and draws on the theory of perceived organizational support to analyze the composite in...

OPEN ACCESS

DOI : https://doi.org/10.70114/ahmer.2026.5.1.P124

Research on AI-Enabled Financial Service Models for Boosting Rural Industrial Revitalization in Poverty-Alleviated Areas—A Case Study of Meitan County, Zunyi, Guizhou Province

Author: Yanru Liu, Yifei Zhang, Dungang Zang, Mei Yu

124,129

Abstract: Against the backdrop of comprehensively advancing rural revitalization, rural industries in poverty-alleviated areas are undergoing a critical transformation from external assistance to endogenous growth. he construction pathHowever,the traditional rural financial service system struggles to match the new demands of large-scale development and integrated revitalization of rural industries,and the structural mismatch between financial supply and industrial upgrading has become a major constraint....