World Journal of Educational Studies (WJES) is an international peer-reviewed, open access journal.
THE IMPACT OF TEACHERS' OVERSEAS STUDY EXPERIENCES ON EDUCATIONAL QUALITY IN HIGHER EDUCATION INSTITUTIONS
The impact of teachers' overseas study experiences on educational quality in higher education institutions was comparatively investigated in this study. Two teachers at Guizhou Institute of Technology, one with 3.5 years of overseas study experience and a doctoral degree, the other without any overseas experience and a doctoral degree, taught the same course (i.e., Mine Engineering Rock Mechanics) to two parallel classes (i.e., Class 231 and Class 232) from September 2024 to June 2025. The teacher with overseas experience implemented three specific teaching strategies: 1) Introduction of overseas frontier knowledge, 2) sharing of personal overseas experiences, and 3) introduction of renowned international scholars. Results from final examinations show that Class 231 with overseas-experienced teacher achieved a pass rate of 88.57% and an excellence rate of 22.86%, compared to Class 232's pass rate of 87.18% and excellence rate of only 2.56%. While pass rates were comparable, the excellence rate demonstrated a dramatic tenfold difference. These findings provide empirical evidence that teachers' overseas study experiences significantly enhance student learning outcomes, particularly in fostering high-level academic achievement. The paper concludes with recommendations for educational reform and institutional policies to promote faculty overseas study opportunities.
Copyright (c) 2026 ChangLun Sun https://creativecommons.org/licenses/by/4.0
PRACTICAL EXPLORATION OF INTEGRATING THE CDIO TEACHING MODEL WITH CHATGPT ASSISTANCE IN CLINICAL TEACHING FOR NURSING INTERNS IN THE RESPIRATORY DEPARTMENT
Background: Although the CDIO (Conceive-Design-Implement-Operate) teaching model can enhance nursing students' core competencies and ChatGPT offers personalized, real-time learning support, their combined application in respiratory nursing clinical teaching remains unexplored. In practice, intern nursing students in respiratory and critical care departments commonly face disconnections between theory and practice, weak knowledge integration and transfer skills, and insufficient critical thinking and clinical decision-making abilities. These challenges are compounded by rigid teaching models, difficulty in providing personalized instruction, limited teaching resources and scenarios, and a lack of opportunities for innovation and hands-on practice. Objective: To design and implement an integrated teaching approach combining the CDIO model with ChatGPT assistance for respiratory nursing interns and evaluate its preliminary effectiveness. Methods: A quasi-experimental study design was employed involving 60 respiratory nursing interns who rotated through a tertiary hospital from May 2025 to March 2026. Participants were assigned to an experimental group (n=30) receiving CDIO model instruction with ChatGPT assistance and a control group (n=30) receiving traditional clinical teaching. Outcome measures included theoretical knowledge assessment, clinical practice scores, autonomous learning ability, and clinical thinking ability. Results: The experimental group demonstrated significantly higher scores in theoretical knowledge assessment (p<0.05), clinical practice skills (p<0.05), clinical thinking ability (p<0.05), and autonomous learning ability (p<0.05) compared with the control group. Conclusion: The integration of the CDIO teaching model with ChatGPT assistance effectively enhances the comprehensive competencies of respiratory nursing interns, improves clinical thinking, and autonomous learning abilities. This innovative approach offers a promising direction for clinical nursing education reform.
Copyright (c) 2026 LiJiao Huang; LiuXue Lu; FengWen Xu; CaiMei Huang; LiYa Ma; XiaoMei Huang; HuiYing Deng https://creativecommons.org/licenses/by/4.0
MECHANISMS AND PREDICTIVE EFFECTS OF PHYSICAL EDUCATION TEACHERS’ PROFESSIONAL COMPETENCE ON STUDENTS’ PARTICIPATION IN PHYSICAL ACTIVITY
This study explored how physical education teachers’ professional competence influences students’ participation in physical activity, as well as the mechanisms underlying this relationship. Based on Self-Determination Theory (SDT), a mediation model was constructed to examine the role of students’ motivation as an important pathway through which teacher competence affects behavioral engagement. The data were drawn from an open-access educational dataset including 1,248 secondary school students between the ages of 12 and 18. Structural equation modeling (SEM) was applied to evaluate the proposed associations. The findings showed that teachers’ professional competence had a significant positive effect on students’ participation in physical activity, both directly and indirectly. In particular, higher levels of teacher competence were associated with stronger student motivation, which subsequently promoted greater involvement in physical activity. In addition, the mediation results demonstrated that motivation served as a partial mediator in the association between teacher competence and students’ participation. These results underscore the important role of teachers’ professional competence in fostering students’ engagement in physical activity and provide empirical evidence for the motivational mechanisms involved. By combining a competence-oriented perspective with a motivational framework, this study enriches the existing literature and offers practical insights for the improvement of physical education teaching.
Copyright (c) 2026 DingRui Dai; QingXu Guo; MingYang Chen https://creativecommons.org/licenses/by/4.0
REFORM AND PRACTICE OF TALENT CULTIVATION IN THE CIVIL AVIATION TRANSPORTATION PROGRAM UNDER THE FRAMEWORK OF EMERGING ENGINEERING EDUCATION
The development of smart civil aviation, the rapid growth of the low-altitude economy, and the new round of scientific and technological revolution have brought new requirements for talent cultivation in civil aviation transportation programs. In response to existing problems in traditional training models, including insufficient industry–education integration, delayed curriculum updating, weak alignment between practical teaching and real operational scenarios, and an incomplete closed-loop quality evaluation mechanism, this study explores the reform of talent cultivation for civil aviation transportation under the framework of Emerging Engineering Education. Guided by an industry-oriented philosophy, the reform aims to cultivate applied talents who understand aviation operations, possess strong practical competence, demonstrate innovation capability, and uphold a strong awareness of safety. Accordingly, a cultivation framework characterized by strategic guidance, industry–education integration, digital and intelligent empowerment, and continuous improvement is constructed. Reform practices are implemented through the reconstruction of training objectives, optimization of the curriculum system, development of virtual simulation and full-mission simulation platforms, promotion of collaborative education by dual-qualified teaching teams, and improvement of competence-based achievement evaluation. This reform framework provides a systematic pathway for aligning program development, curriculum renewal, practical teaching, and competency evaluation, and offers a useful reference for talent cultivation reform in transportation-related programs at civil aviation-oriented universities under Emerging Engineering Education.
Copyright (c) 2026 QingHai Zuo; WeiJun Pan; Qing Cheng; XinPing Zhu; ChangQi Yang; Junhao Liu https://creativecommons.org/licenses/by/4.0
A CONVERGENCE THEOREM FOR THE JACOBI AND GAUSS-SEIDEL ITERATIONS
This paper treats linear systems whose coefficient matrices are neither strictly diagonally dominant nor symmetric positive definite. By applying a matrix transformation, such a system can be converted into one with a symmetric positive definite coefficient matrix. Sufficient conditions are then established for the convergence of the Jacobi and Gauss–Seidel iterations. Numerical experiments are provided to demonstrate the validity of the theorem.
Copyright (c) 2026 WeiJun Zhan https://creativecommons.org/licenses/by/4.0
INSTITUTIONAL COMPARISON AND PRACTICAL PATH SELECTION FOR INTERDISCIPLINARY DEVELOPMENT IN CHINESE AND US RESEARCH UNIVERSITIES
This study delves into the institutional models and practical pathways for interdisciplinary development in research universities in China and the United States. It analyzes cross-national differences in institutional logic, cultural cognition, and organizational models, and proposes recommendations for optimizing China's pathways. The study finds that China's interdisciplinary development is constrained by traditional disciplinary evaluation and resource allocation systems, whereas the United States has fostered a bottom-up interdisciplinary ecosystem through market-driven flexible mechanisms. In contrast, China's top-down approach often offers advantages in mobilizing large-scale resources for major targeted national priorities. The two countries' models are complementary in innovation demand scenarios: the Chinese model is well-suited for addressing clearly defined technological bottlenecks, while the American model is more conducive to nurturing original breakthroughs. The article suggests that China should optimize its environment for interdisciplinary development through three levels: institutional innovation, shifts in cultural cognition, and reform of organizational models. It calls for establishing a new institutional framework aligned with the characteristics of interdisciplinary research, promoting the transition of interdisciplinary studies from the periphery to the center, and ultimately forming a distinctive system for interdisciplinary development with Chinese characteristics. Finally, these insights provide a very strong comparative foundation for concrete policy and practice.
Copyright (c) 2026 ZiHui Wang; LiZhi Sun https://creativecommons.org/licenses/by/4.0
ONLINE IDEOLOGICAL AND POLITICAL EDUCATION STRATEGIES OF UNIVERSITY COUNSELORS FROM THE PERSPECTIVE OF VISUAL COMMUNICATION DESIGN
Against the backdrop of digital transformation and the rapid development of new media communication, university counselors face new challenges in their online ideological and political education work. Traditional methods relying on one-way notifications, policy interpretations, and offline class meetings are no longer adequate to meet the visual, fragmented, interactive, and platform-based information reception habits of university students. Based on existing research on university counselors, new media, online ideological and political education, digital literacy, and communication innovation, this paper explores how visual communication design can be integrated into the online ideological and political education work of university counselors. The study argues that visual communication design is not merely a technical means of beautifying content, but a systematic approach that can enhance narrative expression, readability, emotional connection, platform branding, and student participation. Addressing the current problems in online ideological and political education, such as content homogenization, weak visual expression, insufficient platform operation, limited interactivity, and imperfect evaluation mechanisms, this paper proposes a communication strategy framework consisting of visual narrative, information visualization, platform branding, participatory design, and evaluation feedback. This research can provide practical reference for university counselors with art and design backgrounds to transform their professional advantages into effective educational outcomes.
Online ideological and political education
Copyright (c) 2026 YiTing Wang; KaiWen Qiu https://creativecommons.org/licenses/by/4.0
REFORMING DEGREE EDUCATION IN CIVIL AVIATION TRANSPORTATION FOR INTERNATIONAL STUDENTS FROM BELT AND ROAD PARTNER COUNTRIES: FOUNDATIONS, CHALLENGES, AND PATHWAYS
The Belt and Road Initiative has promoted civil aviation infrastructure connectivity and coordinated air transport development, creating a growing demand for professionals in civil aviation operations and management in partner countries. As a discipline with strong industry relevance, clear regulatory attributes, and occupational orientation, civil aviation transportation provides an important platform for universities to advance higher education internationalization and support the development of the Air Silk Road. In response to challenges such as diverse academic backgrounds, insufficient alignment between course content and civil aviation job competencies, limited adaptation of practical teaching scenarios, incomplete collaborative education mechanisms, and an underdeveloped quality evaluation system, this paper explores reform measures based on the educational practice of the civil aviation transportation degree program. The reform is discussed from five dimensions: training objectives, curriculum system, practical teaching, collaborative education, and quality assurance. By integrating international civil aviation rules and standards, China’s civil aviation operational experience, competency training for air traffic control and flight dispatch, virtual simulation training, and cross-cultural adaptation education, this study proposes a degree education pathway for civil aviation professionals from Belt and Road partner countries. The proposed pathway may provide a reference for civil aviation universities seeking to improve the quality of professional education for international students in China.
Copyright (c) 2026 QingHai Zuo; Qing Cheng; XinPing Zhu; ChangQi Yang; Ting Cao https://creativecommons.org/licenses/by/4.0
APPLICATION OF THE INTEGRATION OF PROFESSIONAL AND INNOVATIVE APPROACHES IN THE COURSE "COMPUTER ORGANIZATION AND ARCHITECTURE"
Taking the integration of specialty education with innovation and entrepreneurship education (specialty-innovation integration) as an opportunity, this paper analyzes the existing problems in the current teaching process of the “Computer Organization” course from three aspects — teachers, students, and the curriculum system. Through five measures — improving teachers’ professional competence, introducing innovative practical components, restructuring the course content, improving teaching methods, and reforming evaluation methods — innovation is integrated into the course. As a result, the teaching effectiveness has been enhanced, with equal emphasis on knowledge and innovation, mutual enhancement of intellect and ability, and adherence to fundamental principles while pursuing innovation. This provides ideas for cultivating interdisciplinary talents in the new era.
Copyright (c) 2026 DuanLi Yang; Kun Li; YuanLi Wang https://creativecommons.org/licenses/by/4.0
PRACTICAL PATHS OF DIGITAL TRANSFORMATION OF LIFELONG LEARNING UNDER THE BACKGROUND OF HIGH-QUALITY DEVELOPMENT
At present, China is at a crucial juncture of demographic structural transformation and industrial upgrading. The digital transformation of lifelong learning is an effective means to promote the high-quality development of education, advance the construction of a learning society and enhance China’s comprehensive national strength. From the perspective of high-quality development, this transformation must follow the basic principles: taking fairness and inclusiveness as the cornerstone, quality and efficiency as the core, collaborative innovation as the driving force, and sustainable development as the ultimate goal. The five paths of technological empowerment, resource supply, subject collaboration, institutional guarantee and quality improvement can be adopted to tackle the prominent problems in the digitalization of lifelong learning, such as the digital divide, unbalanced resource allocation and unsound governance mechanism, which calls for the joint efforts of all stakeholders. The successful digital transformation of lifelong learning will inject strong impetus into the construction of an educational power, and lay a solid foundation for the all-round development of individuals and the harmonious progress of society.
Copyright (c) 2026 XinQiao Ding; Xia Liu https://creativecommons.org/licenses/by/4.0
BUSINESS ENGLISH STUDENTS’ COMPETENCE OF DIGITAL STORYTELLING FROM THE PERSPECTIVE OF THE XU-ARGUMENT
This paper aims to explore business English students’ competence of digital storytelling in the digital era via the continuation task of multimodal production based on the xu-argument. A framework of four dimensions is summarized as the competence of business discourse, business content construction, multimodal presentation and intercultural communication. Four teaching examples designed based on the xu-argument are presented and students’ outputs are analyzed to figure out the alignment effects among language, contents, multimodal forms and intercultural elements accordingly. It is proved that digital storytelling is an effective way for consolidating business English students’ language application and their understanding of business knowledge. It also facilitates students’ improvement on multimodal literacy and authentic intercultural communication ability.
Copyright (c) 2026 GuiTing She https://creativecommons.org/licenses/by/4.0
AIGC-ENABLED SMART INSTRUCTIONAL DESIGN FOR INTERCULTURAL COMMUNICATION COMPETENCE DEVELOPMENT: A TRIADIC HUMAN–AI COLLABORATION MODEL
The rapid proliferation of Artificial Intelligence Generated Content (AIGC) has introduced transformative pedagogical affordances for Intercultural Communicative Competence (ICC) instruction. However, current applications remain predominantly siloed in linguistic proficiency training, often marginalizing cultural competence development and falling short of providing systematic, end-to-end instructional frameworks. Addressing persistent limitations in traditional ICC pedagogy—such as static case studies, situational authenticity deficits, and rigid interaction patterns—this research, which is a Design-Based Research (DBR), integrates experiential learning, situated learning, and sociocultural theories to propose a theory-driven AIGC-enabled instructional design model. The model develops an integrated framework spanning resources, processes, and evaluation, utilizing New Coursebook of Intercultural Communication as an example, and leverages AIGC to dynamically generate multimodal cultural conflict scenarios, facilitating an instructional cycle of “Concrete Experience–Reflective Observation–Abstract Conceptualization–Active Experimentation,” while establishing a synergistic Teacher-Learner-AI Triad. As a prospective design-based study, this paper prioritizes the operationalization of AIGC integration, providing replicable implementation schemes including thematic analysis matrices and technical guidelines. By establishing this comprehensive framework, the study provides a testable foundation for future empirical validation of its impact on students' intercultural cognition, affective attitudes, and behavioral competencies.
Copyright (c) 2026 JianXin Cai; PeiYing Luo; ShiYi Zheng; YuZhuang Li https://creativecommons.org/licenses/by/4.0
THEORETICAL EXPLORATION ON THE REFORM OF TRADITIONAL CHINESE MEDICINE DIAGNOSTICS TEACHING EMPOWERED BY ARTIFICIAL INTELLIGENCE
As a core compulsory course for Traditional Chinese Medicine (TCM) majors, TCM Diagnostics serves as a critical link connecting basic TCM theories and clinical practice, whose teaching quality directly determines the core competence of TCM talent cultivation. Currently, TCM diagnostics teaching faces practical dilemmas including abstract theoretical knowledge, insufficient practical scenarios, lack of personalized teaching, and rigid evaluation systems, which restrict the quality and efficiency of TCM talent cultivation. With its core advantages in data processing, intelligent simulation, and personalized adaptation, artificial intelligence (AI) technology demonstrates inherent consistency with the core thinking of TCM diagnostics such as "syndrome differentiation and treatment" and "holistic concept", providing a brand-new technological path for solving teaching difficulties and promoting teaching reform. Based on constructivist learning theory, embodied cognition theory and precision teaching theory, this paper systematically analyzes the theoretical foundation and internal logic of AI-empowered TCM diagnostics teaching reform, examines the existing problems in current TCM diagnostics teaching, explores the application paths of AI in theoretical teaching, practical teaching, assessment and evaluation of TCM diagnostics, and proposes targeted safeguard measures, so as to provide theoretical support and practical reference for promoting the digital and intelligent transformation of TCM diagnostics teaching and cultivating high-quality TCM talents who meet the needs of the new era.
Traditional Chinese Medicine diagnostics
Copyright (c) 2026 Lei Liu; Li Zhang; MengXin Xu; YaJing Cheng https://creativecommons.org/licenses/by/4.0
DEEPSEEK'S ROLE IN EMPOWERING MATHEMATICS CURRICULUM REFORM IN HIGHER EDUCATION INSTITUTIONS—TAKING ECONOMIC MATHEMATICS AS AN EXAMPLE
This paper explores the challenges present in traditional university mathematics curricula, focusing on economic mathematics as a case study. It highlights issues such as the abstract nature of the content, conventional teaching methods, and outdated assessment practices. To address these challenges, the study harnesses the advanced data processing capabilities, intelligent interactive functionalities, and adaptive learning systems offered by DeepSeek. The research proposes a comprehensive approach to curriculum reform, emphasizing three key dimensions. Firstly, it introduces a personalized system to support lesson preparation, catering to individual student needs and learning styles. Secondly, it advocates for the development of an adaptive knowledge network that evolves over time, ensuring that the curriculum remains dynamic and relevant. Lastly, the study promotes the implementation of innovative deep flipped classroom practices to enhance student engagement and comprehension. By seamlessly integrating DeepSeek into the educational ecosystem encompassing teaching, learning, and assessment, this research aims to revolutionize mathematics curriculum reform. The incorporation of cutting-edge technology is expected to significantly improve teaching efficiency and elevate the overall quality of education in the field of mathematics.
Copyright (c) 2026 QingYue Cui https://creativecommons.org/licenses/by/4.0
APPLICATION OF ARTIFICIAL INTELLIGENCE IN GRADUATE EDUCATION FOR TROPICAL FOREST TREE GENETIC BREEDING
Tropical forest tree genetic breeding is a fundamental course within forestry disciplines, crucial to sustainable forestry development and the promotion of ecological civilization. However, graduate education in this field faces persistent challenges, including prolonged breeding cycles, the complexity of multi-omics data analysis, and the necessity for deep interdisciplinary theoretical understanding. The integration of artificial intelligence (AI) in higher education offers promising solutions to these challenges. This paper systematically examines the application of AI technologies in graduate teaching of tropical forest tree genetic breeding by focusing on three key approaches: employing AI-driven analysis of genetic big data to enhance students’ ability to interpret complex datasets; utilizing AI-driven virtual simulation experiments to overcome temporal and spatial constraints through accelerated breeding models; and developing AI-based personalized learning and assessment systems tailored to diverse research emphases. To address core obstacles such as insufficient model specialization, limited interpretability of biological processes, and underdeveloped teaching support systems, we propose collaborative strategies including academia-industry partnerships for dedicated system development, interdisciplinary faculty training programs, establishment of standardized resource databases, and the adoption of progressive implementation frameworks. Results indicate that the deep integration of AI with tropical forest tree genetic breeding education can streamline instructional processes, improve the quality of talent development, and provide both theoretical and practical foundations for constructing intelligent educational ecosystems, thereby advancing the cultivation of high-level innovation professionals in forestry.
Copyright (c) 2026 Jian Wang; MinJie Qian; Jie Liu; Yan Liu; ZhanYing Zhang; ZhiQiang Xia; ZhiHui Xia; ShouChuang Wang; YongGang Zhou; HongMei Yuan; Yan Jing; YouGen Wu https://creativecommons.org/licenses/by/4.0
INNOVATIVE STRATEGIES AND EMPIRICAL ANALYSIS FOR THE DEEP INTEGRATION OF ARTIFICIAL INTELLIGENCE AND WEB FRONT-END COURSE TEACHING
Against the backdrop of education's digital transformation and the construction of emerging engineering disciplines, this study addresses critical challenges in current Web front-end instruction, including outdated curricula, insufficient intelligent resources, lack of digital-intelligence empowerment in teaching models, and weak AI competencies among faculty. We propose a five-dimensional strategy for deep integration to achieve seamless fusion of AI throughout the entire teaching process. This approach significantly enhances the capabilities of both students and instructors, offering a replicable paradigm for the digital transformation of programming-related courses.
Copyright (c) 2026 JieHui Ju https://creativecommons.org/licenses/by/4.0
CONSTRUCTING AN ECO-YUNNAN STORYTELLING SYSTEM FOR OVERSEAS STUDENTS
The global community's push for sustainable development is driven by significant changes across the economy, society, and environment. Yunnan, a region that has made impressive strides in ecological development, is a beacon of hope for developing nations seeking guidance on sustainable practices. To effectively convey the essence of Yunnan's ecological culture, a proposal has been made to establish a comprehensive system of ecological Yunnan stories. The system would prioritize three crucial aspects: ecological, spiritual, and institutional culture, as well as material culture. The aim is to educate and engage the international community in sustainable practices by sharing the knowledge and experiences of Yunnan's ecological civilization. This initiative aims to promote a better understanding and appreciation of human and environmental interdependence, ultimately leading to a more sustainable future.
Copyright (c) 2026 HaiDan Feng https://creativecommons.org/licenses/by/4.0
AI EMPOWERING THE CULTIVATION OF NEW-QUALITY CAPABILITIES OF MILITARY ACADEMY STUDENTS
The application of a new generation of artificial intelligence technology is driving the evolution of modern warfare toward intellectualization, unmanned operation and systematization, promoting the continuous innovation of operational concepts, and putting forward new capability requirements for modern military talents. The traditional talent training model of military academies, which is characterized by knowledge indoctrination and weak practical training in actual combat, can hardly meet the urgent demand for new-type talents in modern intelligent warfare. Based on the background of the transformation of operational modes, this paper analyzes the new-quality capability requirements of military academy students for intelligent warfare, such as human-machine collaborative thinking, complex system control and unconventional operational method innovation, expounds the era value of AI empowerment, and explores the implementation paths of AI empowering the cultivation of students' new-quality capabilities from three dimensions: curriculum system reconstruction, teaching model transformation and practical path optimization. It aims to provide theoretical reference and practical reference for military academies to deepen the reform of education and teaching and cultivate high-quality new-type military talents needed for strengthening the military.
Copyright (c) 2026 WeiHao Xie; JinLin Guo; QingQing Yang; KeWei Yang; TingWei Lu https://creativecommons.org/licenses/by/4.0
INNOVATION AND APPLICATION OF SMART CLASSROOM TEACHING MODELS IN TOURISM MANAGEMENT COURSES DRIVEN BY NEW INFRASTRUCTURE IN UNIVERSITIES
Against the backdrop of the comprehensive advancement of digital China construction and new infrastructure development, the digital transformation of the cultural tourism industry has raised new demands for the cultivation of tourism management professionals in higher education institutions. Traditional tourism management courses suffer from issues such as insufficient practical scenarios, superficial integration of technology, rigid teaching models, and a singular evaluation system, making them ill-suited to meet the needs of smart tourism development. This study leverages new infrastructure as the technological foundation, integrating technologies like 5G, big data, artificial intelligence, and virtual simulation into the entire teaching process of tourism management courses. It constructs a four-in-one smart classroom teaching model encompassing "technological support + content restructuring + process reengineering + evaluation loop," and conducts practical explorations from aspects such as implementation conditions, course application, and effect evaluation. The research demonstrates that smart classrooms driven by new infrastructure can effectively enhance students' learning initiative and professional practice capabilities, optimize teaching processes and outcomes, and provide a referenceable practical paradigm for teaching reform in tourism management programs at universities.
Copyright (c) 2026 Yue Wang https://creativecommons.org/licenses/by/4.0
THE DEVELOPMENT PATH OF COLD REGION CULTURAL TOURISM INNOVATION AND ENTREPRENEURSHIP COURSES IN JILIN PROVINCE
This study addresses the disconnect between university innovation and entrepreneurship courses and the needs of the regional cultural tourism industry in cold - region contexts. Its innovation lies in being the first to establish "cold regions" as a core contextual variable in curriculum development, thus overcoming the limitations of generalized and homogeneous innovation courses.Focusing on Jilin Province's ice and snow economic belt (including core areas like Changbai Mountain and Beidahu Lake), the research targets cultural tourism majors in universities. It explores how to develop innovation courses tailored to low - temperature environments, seasonal fluctuations, and the unique characteristics of ice and snow culture.Through interviews with multiple cold - region cultural tourism enterprises and surveys of 327 students from five universities, the study employs the work process systematization theory to reconstruct courses.Results reveal: (1) Cold - region cultural tourism entrepreneurship requires three specialized capabilities: "low - temperature environment product adaptation," "off - season cash flow management," and "extreme weather risk control"; (2) A "four - stage progressive" development path effectively translates industry needs into course objectives; (3) Modular courses centered on "cold - region competencies" significantly enhance the feasibility of students' cold - region entrepreneurship projects. The study provides replicable and scalable educational solutions to support Jilin Province's cultural tourism revitalization.
Copyright (c) 2026 Yue Hao; YaoWen Liu https://creativecommons.org/licenses/by/4.0
THE ALIENATION OF UNIVERSITY STUDENTS' ONLINE MENTALITY AND COGNITIVE RISK INTERVENTION UNDER ALGORITHMIC DRIVE
This research investigates the evolutionary mechanism and risk intervention of university students’ online mentality alienation under the deep embedding of intelligent algorithms. Based on the Knowledge-Attitude-Practice (KAP) theoretical framework, a chain mediation model was constructed, and 351 valid empirical data points were obtained through targeted sampling on leading algorithm-driven social media platforms popular among youth. Using Latent Profile Analysis (LPA) and Structural Equation Modeling (SEM), the study reveals three heterogeneous groups: "Rational Self-Control" (33.6%), "Immersive Follower" (48.7%), and "Highly Alienated" (17.7%). Findings show that irrational trust in algorithmic recommendations directly triggers cognitive conflict (K) while bypassing the "information cocoon" (which negatively affects defense), sequentially triggering negative emotions (A), uncontrolled internet use, and defensive cognition (P). Notably, digital literacy failed to buffer front-end algorithmic discipline but significantly moderated the "cognitive conflict → uncontrolled internet use" path. This study deepens the micro-psychological understanding of technological alienation and provides empirical evidence for transitioning toward "algorithmic logic de-blindness" in educational intervention strategies.
Copyright (c) 2026 YiXin Li https://creativecommons.org/licenses/by/4.0
OUTCOMES OF INTERNATIONAL HIGHER EDUCATION: EMPLOYABILITY OF STUDENT RETURNEES
The growing internationalisation of higher education has brought about an increase in the number of student returnees. However, the employment of student returnees, as an important part of international higher educational outcomes, is widely focused on by educators. Based on the graduate capital model, this paper analyses the employment of returnees in mainland China in recent years through literature analysis and finds that employability is a direct factor affecting employment outcomes. In assessing whether international education has enhanced students’ employability, it is necessary to identify which specific types of employment capital have been enhanced. Currently, Chinese employers do not consistently rate the employability of returnees. Returnee graduates should pay attention to changes in the labour market in the pre-study, study and post-study phases, and actively participate in the activities of other employers in order to maximise the employability capital of graduates. Therefore, cultivating and enhancing employability is a process that requires the joint development of universities, students and employers.
Copyright (c) 2024 MeiYing Wu https://creativecommons.org/licenses/by/4.0
THE “CHINESE PARADIGM” OF AGRICULTURAL SCIENCE EDUCATION DRIVEN BY THE DEMANDS OF THE TROPICAL CROP INDUSTRY
Amid the deepening implementation of the Belt and Road Initiative and the accelerating globalization of agriculture, the tropical crop industry in Southeast Asia is undergoing a pivotal transformation from traditional extensive farming to intelligent, sustainable, and integrated industrial chain development. This evolution underscores an urgent demand for versatile, practice-oriented, and internationally innovative talents. However, conventional agricultural education models are hindered by outdated curricula, disconnected practical training, and imbalanced talent competency structures, resulting in a severe misalignment between talent cultivation and industry needs. This paper, grounded in China’s tropical agricultural education practices and the experience of new agricultural sciences development, constructs a “Chinese Paradigm” of tropical crop agricultural teaching driven by industry demand, centered on curriculum reform, and utilizing industry-education integration as its pathway. Through comprehensive iterative upgrades of the educational system, this paradigm addresses the imbalance between talent supply and demand, leveraging China’s tropical agricultural technological advantages and educational resources to develop a replicable and scalable teaching model. It offers a Chinese solution for tropical crop talent cultivation to Southeast Asian countries along the Belt and Road, embodying China’s leading exemplary role and commitment to international agricultural educational cooperation.
Copyright (c) 2026 Yan Liu; YongGang Zhou; YanLi Chen; YaXin Li; Chen Feng; HaiYan Li https://creativecommons.org/licenses/by/4.0
“THREE INTEGRATIONS AND THREE DRIVES”: CONSTRUCTING AND PRACTICING AN INNOVATIVE TALENT CULTIVATION SYSTEM FOR TROPICAL CROP PRODUCTION MAJORS
Amid the dual context of building an agricultural powerhouse and advancing novel productive forces, the tropical crop industry is accelerating its transition towards intelligence, sustainability, and internationalization, thereby imposing heightened demands on the interdisciplinary aptitude and practical capabilities of innovative talents. Addressing prevailing challenges such as pronounced disciplinary barriers, superficial industry-education integration, and insufficient international adaptability in the training of tropical crop production professionals, this study proposes a “Three Integrations and Three Drives” talent cultivation system. This framework centers on the core pathways of interdisciplinary integration, profound industry-education integration, and synergistic scientific-educational collaboration, propelled by the engines of industry demand, cutting-edge technology, and international cooperation. Through curriculum restructuring, pedagogical innovation, enhancement of practical platforms, and reform of assessment mechanisms, this approach achieves synchronous resonance among talent development, industrial progress, technological advancement, and global needs. The proposed system offers a replicable and scalable model for talent training in tropical crop majors under the new agricultural science paradigm.
Copyright (c) 2026 Yan Liu; YanLi Chen; YongGang Zhou; YaXin Li; Yan Jing; HaiYan Li https://creativecommons.org/licenses/by/4.0
CONSTRUCTION OF THE “ONE AXIS, DUAL DRIVES, AND FOUR INTEGRATIONS” GRADUATE TRAINING SYSTEM FOR SOUTHERN SEED BREEDING UNDER NATIONAL STRATEGIC GUIDANCE
As a national strategic priority, Southern Seed Breeding (Nanfan) imposes an urgent demand for highly skilled, interdisciplinary talents. However, the conventional graduate training paradigm is ensnared in structural dilemmas characterized by a disconnect between theory and practice, a superficial integration of industry and education, and skewed evaluation orientations. In response, this study establishes and empirically validates a graduate training framework embodying the “One Axis, Dual Drives, and Four Integrations” logic within the southern seed breeding domain, utilizing STIs as practical arenas and employing a triadic analytical framework of value–institution–action. This system centers on the strategic imperatives of southern seed breeding as the axis of value, propelled by the dual engines of scientific-educational synergy and industry-education integration. It advances a four-dimensional fusion encompassing curriculum design, mentorship teams, practical platforms, and evaluation mechanisms, thereby forming a closed-loop educational model of “rooted theoretical foundations, research serving industry, and outcomes enriching teaching.” Empirical verification, based on 136 provincial-level and above institutes in Hainan, demonstrates that this system markedly enhances graduate students’ practical innovation capabilities and industry service competencies, cultivating over 250 talents devoted to agricultural knowledge and passion, transferring more than 30 scientific achievements, and generating over 15 million RMB in technology promotion contracts. By deeply excavating the intrinsic mechanisms embedding national strategic demands into talent cultivation, this research offers a novel paradigm that harmonizes profound theoretical insights with applied efficacy for the reform of professional agricultural graduate education.
Copyright (c) 2026 YongGang Zhou; Yan Jing; Jie Liu; ZhanYing Zhang; ZhiQiang Xia; Jian Wang; LiJuan Luo; YouGen Wu; Yan Liu https://creativecommons.org/licenses/by/4.0
DUAL-ENGINE DRIVE OF DATA + MODEL ON OPTIMIZATION THEORY FOR COURSE FOR THE AI ERA
Addressing the shift in AI-era optimization algorithms from offline static to integrated perception, this paper proposes a three-tiered pyramid teaching framework. By introducing computational graph perspectives to reshape foundational theory, empowering advanced training through dual-layer programming, and driving end-to-end differentiable optimization applications drives application practice, effectively resolving the challenges of fragmented knowledge, outdated tools, and single-dimensional assessment in traditional curricula. Practice demonstrates that this framework significantly enhances graduate students' dual-habitat cross-disciplinary problem-solving capabilities, bridging mathematical rigor and AI intuition.
Bidirectional empowerment of AI and optimization
Copyright (c) 2026 DanJu Lv; YueYun Yu; Yan Zhang https://creativecommons.org/licenses/by/4.0
INTEGRATING SAMR MODEL WITH AI-DRIVEN E-LEARNING IN ACADEMIC ENGLISH: A UNIFIED FRAMEWORK FOR ONLINE AND OFFLINE COURSES
This study integrates the SAMR model (Substitution, Augmentation, Modification, Redefinition) with AI-driven e-learning to develop a unified online-offline academic English framework for mechanical engineering students in China’s new engineering education context. Specific AI applications include: substitution-level AI grammar checkers and vocabulary apps, augmentation-level adaptive algorithms delivering real-time feedback, modification-phase automated essay scoring and speech recognition for multidimensional assessment redesign, and redefinition-stage AI-generated VR simulations for immersive language practice. Using a mixed-methods approach—pre/post-tests, technology fluency evaluations, and focus groups—the research demonstrates that this framework significantly enhances students’ academic English proficiency, critical thinking, and interdisciplinary communication skills. Results confirm substantial gains in engagement and satisfaction, highlighting AI’s transformative role in redefining pedagogical paradigms for engineering education.
Copyright (c) 2026 YongQin Wang https://creativecommons.org/licenses/by/4.0
DISCUSSION AND PRACTICE OF BLENDED TEACHING OF “URBAN GEOGRAPHY” BASED ON RAIN CLASSROOM
Against the backdrop of deep integration between information technology and education, blended learning has emerged as a key direction for curriculum reform in higher education. Taking the course Urban Geography as a case study, this paper explores the construction and implementation of a blended learning model based on the Rain Classroom Smart Teaching Tool. The study developed a “three-stage, six-step” blended teaching model encompassing pre-class independent learning, in-class deep interaction, and post-class consolidation and enhancement. Leveraging Rain Classroom's real-time interaction, data feedback, and online learning resources, the model effectively enhanced students' independent learning abilities, critical thinking skills, and patriotic sentiments, achieving a deep integration of professional knowledge transmission and ideological education within the curriculum.
Copyright (c) 2026 Hui Li; Yu Xia; QiLong Ren; YuHua Cao; GuangXiong Mao https://creativecommons.org/licenses/by/4.0
CULTIVATING GREEN MARKETING TALENT IN VOCATIONAL COLLEGES FOR THE NET-ZERO TRANSITION: AN AI-ENABLED COMPETENCY FRAMEWORK AND DEVELOPMENT PATHWAY
Against the dual backdrop of China’s “carbon peaking–carbon neutrality” strategy and the accelerating global net-zero transition, green marketing has shifted from a peripheral competitive instrument to a core mechanism for value creation and sustainable transformation. This shift calls for a new type of “green + intelligent” talent in vocational education—graduates who combine ecological literacy with data-driven and AI-enabled marketing capabilities. Drawing on competency-based education (CBE), ecological literacy, and AI-empowered education, this study reviews relevant international and domestic research and policy practices and maps them onto authentic job tasks and situational demands in green marketing roles. We develop a three-tier, five-dimensional competency framework (foundational–intelligent–innovative) and propose an end-to-end development pathway in which AI is embedded across curriculum design, practice-based training, assessment, and employment alignment. The framework comprises five dimensions: (1) green cognition and ecological literacy, (2) industry fundamentals and market adaptability, (3) AI/digital technology application, (4) cross-boundary collaboration and communication, and (5) innovative practice and sustainable development. It positions ecological literacy as the value foundation, AI as the technical engine, and lifelong learning as the growth trajectory, forming a closed loop of “task scenarios–competency progression–assessment feedback.” For implementation, the paper proposes an integrated scheme consisting of curriculum restructuring and interdisciplinary projects, intelligent learning and virtual simulation-based training, industry–education collaboration and job alignment, whole-process intelligent assessment and digital portfolios, and continuous learning with governance optimization. The proposed framework and pathway provide actionable guidance for vocational colleges in curriculum development, training-base construction, industry–education integration, and competency assessment, thereby supporting the supply and quality improvement of green marketing talent for the net-zero transition.
Copyright (c) 2026 ZhaoXia Xue; Wei Li https://creativecommons.org/licenses/by/4.0
REGIONAL ADAPTATION AND CAPABILITY ADVANCEMENT: APPLICATION RESEARCH OF "THREE-DIMENSIONAL INTEGRATION AND TEN-WHEEL DRIVE" IN LOCAL CULTURAL TOURISM TALENT TRAINING OF "FUNDAMENTALS OF TOURISM GUIDING"
Aiming at the urgent demand for locally adaptable talents in the upgrading of Northern Shaanxi's cultural tourism industry, this study takes the curriculum reform of "Fundamentals of Tourism Guiding" as the carrier to explore the application path of the "Ten-Wheel Drive" mode in local cultural tourism talent training. By integrating local elements such as Northern Shaanxi's red culture, frontier fortress culture, and ecological resources, a full-chain curriculum system of "basic layer + characteristic layer + dynamic layer" is constructed. Relying on the trinity practice platform of "campus-enterprise-scenic spot", the capability advancement of students from "theoretical mastery" to "local practical operation" and then to "industrial empowerment" is realized. A 5-year empirical study shows that this mode has effectively improved students' local cultural identity and full-chain operation capability, It provides a practical paradigm for cultural tourism professional talent training in regional colleges and universities with similar resource endowments.
Copyright (c) 2026 ZiYi Bai; YiMin Han https://creativecommons.org/licenses/by/4.0