Journal of Education and Educational Research
Journal of Education and Educational Research (JEER) is a peer-reviewed journal published by Darcy & Roy Press. The mission of the journal is to provide an academic forum for discussing the issues of education across the world. All articles published are rigorously and fast reviewed meeting the Journal Quality standards.
Blockchain + AI Evidence Storage: Innovation of Sharing and Copyright Protection Mechanism for High-Quality Marine Educational Curriculum Resources
Under the dual background of the in-depth advancement of the maritime power strategy and the comprehensive implementation of the digital education strategy, high-quality marine education curriculum resources are the core carrier for spreading marine culture, cultivating national marine literacy and consolidating the foundation of marine professional talent training. Its digital, inclusive and standardized development has become the core direction of marine education reform. At present, the digital construction of marine education curriculum resources in China has taken initial shape, forming a digital resource system covering all educational stages and multiple fields. However, many deep-seated dilemmas still exist in resource circulation and copyright management. High-quality resources are fragmented and scattered with strict cross-regional, cross-platform and cross-subject sharing barriers, making it difficult to give full play to the efficiency and inclusive value of resources. The copyright confirmation process of digital curriculum resources is cumbersome with ambiguous ownership definition. Piracy, unauthorized tampering, illegal dissemination, commercial profit-making and other infringements occur frequently with strong concealment. Infringement evidence collection is difficult, the right protection cycle is long, and the cost of rights protection remains high, which cannot effectively protect the legitimate rights and interests of original developers. In addition, the multi-party benefit distribution mechanism for resource sharing is missing, resulting in prominent interest imbalance, which seriously dampens the enthusiasm of market entities for resource development and sharing. Blockchain technology has the core characteristics of decentralization, distributed storage, non-tamperability, full traceability and automatic execution of smart contracts, providing underlying trust support for authoritative right confirmation, credible evidence storage and safe circulation of digital resources. Relying on in-depth algorithm learning, intelligent content recognition, big data comparison, full-network real-time monitoring and electronic evidence fixation, AI technology provides an efficient implementation scheme for digital copyright efficient monitoring, rapid evidence collection and accurate traceability. The in-depth integration and complementary advantages of the two precisely meet the dual core needs of efficient sharing and full-process copyright protection of marine education curriculum resources, providing a new technical path to solve industrial development pain points. Based on the whole-process scenarios of the construction, dissemination, application and management of high-quality marine education curriculum resources, this paper systematically sorts out the practical dilemmas and core pain points of current industrial development, deeply analyzes the adaptability logic, technical advantages and theoretical value of the integrated application of blockchain and AI evidence storage technology in the marine education field. It constructs an innovative mechanism integrating automatic right confirmation for resource creation, cross-domain secure sharing and circulation, full-process infringement monitoring and traceability, multi-party fair benefit distribution, and full-life-cycle copyright management. At the same time, systematic and implementable implementation paths are proposed from six dimensions: policy system, platform construction, technological research and development, talent training, multi-party collaboration and pilot promotion, with demonstration on practical application feasibility. The research aims to break the "information island" of marine education resources, balance resource sharing efficiency and copyright protection, resolve the dual contradictions between resource circulation and rights protection, and improve the digital development ecosystem of marine education. It provides solid theoretical support and practical guidelines for promoting the universal sharing of high-quality marine education resources, protecting intellectual property rights of original creators, and facilitating the implementation of the maritime power strategy.
Copyright (c) 2026 Journal of Education and Educational Research https://creativecommons.org/licenses/by-nc/4.0
A Study on the Current Status, Issues, and Systemic Solutions Regarding the Implementation of the "Law of Preschool Education "
The "Law of the People’s Republic of China on Preschool Education" officially implemented on June 1, 2025, since then, it has achieved initial results, such as expanding inclusive resources, normalizing kindergarten actions, and consolidating safety supervision. However, it still faces a few structural challenges, including unequal allocation of educational resources, difficulties in supervising, insufficient financial funds, a weakness of teaching staff and a lack of support for special groups. This paper, based on an analysis of newly enacted local policies and studies of local practising cases, systematically reviews the current status of the law’s implementation, analyzes deep-rooted issues, and put forwards six solutions: dynamic resources distribution, smart supervising systems, multiple funding guarantees, teacher capacity promotion, precise special education support, and collaborative governance mechanisms. These solutions just provide a reference for the effective implementation of the law.
Intergration of Childcare and Early Childhood Education
Research on a Data-Intelligence-Driven "Training-Evaluation-Competition" Cultivation System for Teacher Education Students
The rapid development of artificial intelligence technology is driving the digital transformation of teacher education, imposing new requirements on the cultivation of teaching skills among teacher candidates in the new era. To address issues such as fragmented processes, inconsistent standards, delayed feedback, and low educational efficiency in traditional teacher training, this study takes the Teacher Training Center at Hubei University of Science and Technology as a case to establish an integrated, full-chain "training-evaluation-competition" cultivation system empowered by data and intelligence. Relying on a three-tier architecture, a four-dimensional collaborative mechanism, and a data-intelligence-based training platform, the system achieves precise skill training, intelligent competency assessment, systematic competition development, and closed-loop educational processes. Four years of practical validation have demonstrated that the system effectively enhances both the teaching competencies and competitive excellence of teacher candidates, promoting the transformation of teacher education towards digitization, precision, and systematization. Future efforts will focus on continuously optimizing platform algorithms, training resources, and talent development mechanisms to strengthen the comprehensive qualities of teacher candidates and cultivate high-quality, innovative teachers for basic education.
Reconstruction and Practice of Vocational Undergraduate Course Content Under the Background of Industry-Education Integration
Industry-education integration serves as the core approach for vocational undergraduate education to cultivate high-level technical and skilled talents, and curriculum content reconstruction is a key link to promote the implementation of industry-education integration. Taking the course Distributed Control System Application Technology as an example, based on theories such as competency-based education and work process orientation, this paper targets the current problems of the course including disconnection from industrial demands and insufficient school-enterprise collaboration, and puts forward a reconstruction idea of “taking industrial demands as the orientation and post competency as the core”. It constructs a curriculum content system featuring “adequate theories, prominent practices, industrial connection and literacy integration”, and proposes specific implementation paths from the aspects of teaching mode, practical system, faculty construction and evaluation mechanism. Practice shows that the reconstructed course effectively improves students’ ability to solve complex engineering problems and can provide a reference for the construction of similar vocational undergraduate courses.
Exploring Human–AI Collaborative Generation Mechanisms from the Perspective of Creative Treason
With the rapid development of artificial intelligence, the creative potential of Large Language Models (LLMs) in literary translation has increasingly attracted scholarly attention. The concept of creative treason in translation studies offers a valuable framework for examining the roles and limits of LLMs as emerging translation agents. Using selected chapters from The Story of the Stone as the analytical corpus, this study compares translations generated by ChatGPT with David Hawkes’s English version to explore how creative treason manifests in each translation. The discussion further considers possible pathways for human–AI collaboration, providing insights into enhancing the creativity and acceptability of literary translations produced with the assistance of artificial intelligence.
Integrating Informatization with the PAD Class Model: An Empirical Study on Enhancing Vocational Teacher Competency in Early Childhood Education
The "Double-High Plan" in China necessitates innovative pedagogical reforms to cultivate high-quality technical talent. This study addresses the pedagogical stagnation in the Montessori Education Methodcourse within Infant and Toddler Nurturing programs by proposing an integrated "Informatization + PAD Class" instructional model. Grounded in the deep integration of theory and practice, this model synergizes digital platforms (e.g., AI assessment, Learning Pass) with the structured phases of the PAD Class (Presentation, Assimilation, Discussion). A quasi-experimental design was conducted with 74 freshmen. Results indicate that the experimental group, which adopted the integrated model, significantly outperformed the control group in academic achievement (p<.01) and demonstrated higher engagement levels. Notably, the integration fostered self-regulated learning and practical operational skills. This study contributes a scalable framework for leveraging educational technology to enhance instructional efficacy in vocational education.
Bridging Theory and Practice: A Packet Tracer-Based Simulation Approach to Computer Network Education
Computer network course features abstract concepts and obscure principles, making it difficult for students to form intuitive understanding solely through classroom theoretical instruction. To address the issue, a simulation experiment teaching reform plan based on Packet Tracer is proposed. The core concept is to ensure that each simulation experiment precisely corresponds to the key knowledge points in theoretical teaching, enabling students to see the specific presentation of abstract principles through hands-on operations. A three-in-one teaching system of "theoretical knowledge points - simulation experiments - verification content" was designed, and the case of the switched Ethernet experiment was used to detail how Simulation mode enables students to observe self-learning process of switch, clear forwarding of unicast frames, and collision-free transmission of full-duplex communication. Teaching practice has shown that this "theory-driven, experiment-verified" model effectively reduces students' cognitive load and helps them establish an intuitive connection from concepts to phenomena.
Construction of a New Teaching Model for Maritime English under the Background of Digital Empowerment
In the context of digital empowerment, the teaching of English courses in vocational colleges needs to follow the trend and undergo digital reshaping, and maritime English courses, as the core course of maritime technology majors, are even more so. The digital teaching methods such as online course platforms, machine automatic grading systems, smart classrooms, and virtual simulation training software have empowered the reform of maritime English teaching, filling the gaps in teaching environment, teaching resources, and evaluation modes, and to some extent improving students' self-learning and innovation abilities.
Copyright (c) 2024 Journal of Education and Educational Research https://creativecommons.org/licenses/by-nc/4.0
The Dilemmas and Improvement Paths of College Students' Media Literacy Education from the Perspective of Critical Thinking
With the full advent of the converged media era, media literacy education for college students has become a crucial component of higher education. This paper analyzes the various challenges facing current media literacy education from the perspective of critical thinking: a disconnect between educational content and practical needs, insufficient cultivation of critical thinking skills, an incomplete curriculum system, inadequate professionalization of teaching staff, and a simplistic evaluation framework. Building on this analysis, the paper establishes a theoretical framework for media literacy education grounded in critical thinking and proposes a four-dimensional cultivation model "Cognition-Analysis-Evaluation-Creation." It outlines concrete improvement pathways including curriculum restructuring, innovative teaching methodologies, professional development for educators, practical training platform development, and reform of evaluation mechanisms. The study demonstrates how to organically integrate critical thinking cultivation throughout the entire media literacy education process, effectively enhancing students' comprehensive abilities to identify misinformation, rationally analyze media content, and independently assess the value of media information.
Exploration of Curriculum Construction for Operating System Principles Oriented toward Computational Thinking in the Context of Emerging Engineering Education
The development of Emerging Engineering Education (New Engineering Disciplines) has placed new and higher demands on the cultivation of computer-related professionals, specifically requiring the enhancement of students' computational thinking, systems thinking, and engineering practice abilities. As a core course in computer science, Operating System Principles serves as a crucial bridge connecting computer hardware and software, and is also a naturally powerful vehicle for cultivating computational thinking. Therefore, starting from the context of Emerging Engineering Education, this paper systematically analyzes the various problems faced by traditional Operating System Principles courses in fostering computational thinking. Subsequently, from five dimensions—curriculum objective reconstruction, teaching content optimization, teaching method innovation, practice system construction, and assessment reform—it rigorously explores the path for constructing an Operating System Principles course oriented toward computational thinking. It further integrates mainstream operating system practices to implement computational thinking training. Finally, concrete teaching practices verify the effectiveness of the reforms, thereby naturally providing a replicable approach for similar curriculum reforms.
Construction and Implementation of Effectiveness Evaluation for Practical Education in Universities from the Perspective of Value-Added Evaluation
Practical education in universities is a crucial pathway for implementing the fundamental task of "fostering virtue through education" (Lide Shuren). However, current effectiveness evaluations suffer from several issues, such as prioritizing results over processes, favoring qualitative over quantitative analysis, and neglecting individual student differences. Based on the theory of Value-Added Evaluation (VAE), this paper systematically explores the application logic and practical paths for evaluating the effectiveness of practical education. First, it clarifies the connotation of VAE, emphasizing its process-oriented and developmental characteristics that focus on the "net gain" of student development. Second, it argues the necessity of introducing VAE from two dimensions: theoretical deficiency and practical demands (student-centeredness, efficiency and equity, and growth promotion). Finally, it constructs an indicator system that involves multiple evaluation subjects and aligns with the core essence of practical education, utilizing value-added models to achieve a closed-loop mechanism of "evaluation-feedback-optimization." The study indicates that VAE can effectively compensate for the shortcomings of traditional evaluation methods, dynamically present the "value-added" progress of students' practical qualities, and contribute to enhancing educational equity and the quality of practical education.
Innovative Practice of Industry-Education Integration and Competition Empowerment in Data Visualization Courses
Faced with the urgent demand for data talents amid the development of the digital economy and new engineering initiatives, this study is grounded in the application-oriented educational positioning of Suqian University and the talent needs of local pillar industries—including e-commerce, liquor-making, and smart city development in Suqian. It addresses core challenges: the disjunction between the teaching content of the "Data Visual Analysis" course and industrial demands, fragmented teaching resources, misalignment between the evaluation system and job requirements, and insufficient competitive motivation in practical sessions. Guided by the core concepts of industry-education integration, competency-based education, achievement-oriented teaching, and competition-driven learning, the study incorporates desensitized sales data from local leading enterprises (e.g., JD.com and Yanghe Co., Ltd.) to establish a visual case library, and constructs a six-in-one innovative teaching system encompassing school-enterprise data collaboration, project-driven teaching, competition empowered practice, blended teaching empowerment, multi-dimensional process assessment, and deep integration of ideological and political education. In practice, local desensitized industrial datasets are integrated, virtual simulation experiments and new-form teaching resources are developed, discipline competitions are deeply integrated with curriculum practice, a multi-dimensional competency evaluation model is adopted, and dynamic alignment is achieved between corporate job requirements and competition competency standards. Results indicate that the overall achievement rate of curriculum objectives post-reform reaches a high of 0.8939. Students’ practical abilities, industrial adaptability, innovative awareness, and comprehensive professional literacy have been significantly improved. This study provides a replicable and promotable "Suqian Model" for the reform of data-related courses in local undergraduate universities featuring regional industry-education integration and academic competition empowerment.
Research and Practice of Intelligent Network Operation and Maintenance Teaching Driven by Large Language Models
With the rapid development of artificial intelligence technology, large language models are gradually being integrated into various industry applications. In the field of network operations and maintenance, the traditional manual operation mode can no longer cope with complex network architectures and massive maintenance data. Firstly, the system studied the current applications and development trends of large language models in intelligent network operations and maintenance. Then, it deeply analyzed the existing problems in current network operations teaching. Finally, it proposed a network operations teaching reform program based on large language models, including curriculum system reconstruction, teaching mode innovation, and practical platform construction. Through teaching practice, it was found that integrating large language model technology into network operations teaching can effectively enhance students' intelligent maintenance capabilities. The proposed large language model-driven network intelligent operations teaching reform program provides theoretical reference and practical guidance for the reform of practical teaching in university network engineering programs.
Research on Multidimensional Evaluation of College Foreign Language Teacher Training
Against the backdrop of global communication and the digital transformation in education, the professional competency of college foreign language teachers plays a crucial role in shaping both the quality of foreign language instruction and the success of cross-cultural interactions. Currently, foreign language teacher training faces challenges such as uniform content, a singular assessment framework, and inadequate adaptability for developing language skills. These issues hinder the ability to address the disruptions introduced by emerging technologies like ChatGPT and to fulfill the contemporary goal of effectively “telling China’s stories”. This study examined the current state of foreign language teacher training across Chinese colleges and universities and formulated a comprehensive evaluation framework that encompassed various subjects, dimensions, indicators, and methodologies. Additionally, it proposed enhancement strategies such as skill-specific training, optimization of hybrid models, and the establishment of an evaluation-feedback loop. The findings aim to offer theoretical insights and practical guidance for effectively implementing college foreign language teacher training programs while promoting systematic advancements in the quality of foreign language education.
Modular Reform and Practice of Digital Cultural and Creative Design Courses based on County Place Name Culture Under the Background of Rural Revitalization
Driven by the rural revitalization strategy, the activation and utilization of county place name culture have become a key grasp for cultural revitalization. As the birthplace of the "Wenzhou Model" and the "No. 1 Digital Town in China", Jinxiang Town, Cangnan County, Wenzhou, its place name culture carries multiple connotations of military history, marine commerce and folk custom inheritance, providing high-quality teaching resources for digital cultural and creative design courses. Taking the digital cultural and creative design courses in vocational colleges as the research object, based on the characteristics of place name culture in Jinxiang Town, this paper constructs a four-dimensional curriculum module of "cultural excavation — digital transformation — creative design — industrial empowerment". Through targeted teaching practice, it realizes the coordinated improvement of students' design ability, cultural inheritance and local industrial development. Research shows that the modular curriculum reform relying on Jinxiang's place name culture can not only solve the problem of "valuing skills over culture" in traditional courses, but also inject creative momentum into the county's cultural tourism industry, providing a replicable practical sample for curriculum reform under the background of rural revitalization.
Exploration and Practice of Small Class Teaching Reform in Computer Network Course: A Case Study of Wangong Class
Computer networks, as a core course for computer science majors, have long faced challenges such as abstract theoretical content, a disconnect between practical teaching and industry needs, and insufficient student motivation. This paper, based on the "Wangong Class" small class teaching model, proposes a teaching reform plan oriented around "Digital Empowerment" and "Industry-Education Integration." The specific reform measures include: reshaping students' professional cognition to guide their learning motivation; restructuring the curriculum system with "layered progression and integration of theory and practice" through industry-education integration; innovating a "scenario-driven, digitally empowered" blended teaching method; and establishing a "process-oriented, multi-dimensional evaluation" assessment mechanism. Additionally, the integration of ideological and political education elements has been fully explored. After two rounds of teaching practice, students in Wangong Class showed significant improvement in final exam scores, the ability to solve complex engineering problems, and learning engagement, validating the effectiveness and promotability of this model in core engineering courses. It provides practical references for small class teaching reforms in similar universities under the background of new engineering education.
Ethical Risks and Prevention of Generative AI Embedded in Ideological and Political Education in Colleges and Universities
While generative artificial intelligence provides important technical support for the digital transformation and precise education of ideological and political education in colleges and universities, it also contains multiple ethical risks such as subjectivity dissipation, value deviation, relationship alienation, and environmental complexity. Based on the three-dimensional analysis framework of "subject-institution-technology", this paper systematically explains the manifestations of ethical risks in the dimensions of subject, value, technology and environment when generative AI is embedded in ideological and political education in colleges and universities, and deeply analyzes the deep-seated causes including algorithm limitations, the expansion of instrumental rationality, the lag of institutional norms, and the weak ethical literacy of subjects. The research shows that preventing relevant ethical risks needs to adhere to the core orientation of "education-oriented and technology-supported". By strengthening value guidance, reshaping teacher-student and human-computer ethical relationships, improving institutional regulations and supervision mechanisms, and enhancing the ethical literacy of technical subjects and application subjects, a full-chain and multi-level risk prevention system should be constructed. This will realize the deep integration of technology empowerment and the essence of ideological and political education, ensure the safe, reliable and controllable application of artificial intelligence in ideological and political education in colleges and universities, and better implement the fundamental task of fostering morality and cultivating people.
Interdisciplinary Innovation Talent Cultivation: Collaborative Mechanisms and Practical Pathways in the Era of New Quality Productive Forces
Rapid advances in artificial intelligence, big data, and digital technologies are reshaping industrial development and creating growing demand for interdisciplinary innovative talents. However, many universities still face problems such as fragmented curricula, insufficient collaboration with industry, and outdated evaluation systems. Based on these practical challenges, this paper examines collaborative education mechanisms and discusses how curriculum reform, organizational innovation, and dynamic evaluation systems can better support talent development in the era of new quality productive forces.
A Study on the Implementation Pathways for Integrating the Smart Manufacturing Engineering Major with Entrepreneurship
Against the backdrop of the in-depth implementation of the “Made in China 2025” strategy, the comprehensive advancement of new engineering disciplines, and the implementation of the 2026 “Implementation Guidelines for the ‘AI+ Manufacturing’ Special Action,” the deep integration of innovation and entrepreneurship education with professional education in the field of intelligent manufacturing engineering represents a core direction for educational reform aimed at supporting the high-end, intelligent, and green transformation of the manufacturing sector. This paper systematically reviews the theoretical research findings and policy frameworks regarding the integration of innovation and entrepreneurship with professional education in the field of intelligent manufacturing from 2020 to 2026. By analyzing industry-education integration case studies from leading domestic institutions and incorporating the latest talent demand trends in the intelligent manufacturing sector, the paper explores implementation pathways, existing challenges, and optimization strategies for this integration. The study finds that while three mainstream models of integration have emerged in the field of smart manufacturing, common challenges persist, including conceptual disconnect, superficial course integration, ineffective school-enterprise collaboration mechanisms, and insufficient faculty capabilities. Reform must be systematically advanced across four dimensions: restructuring the curriculum system, improving school-enterprise collaboration mechanisms, strengthening the faculty, and establishing a diversified evaluation system. Ultimately, this will achieve the synergistic enhancement of students’ professional and innovation-entrepreneurship competencies, thereby supplying the manufacturing sector with versatile innovative talent to support high-quality development.
AI-Empowered Transformation of University English Teachers' Roles and Pedagogical Approaches in the Digital Era
The rapid integration of artificial intelligence (AI) into university English education has prompted a profound rethinking of language teachers’ professional identities and practices. Based on a systematic review of recent empirical studies, this paper addresses two core questions: how teacher roles are reconfigured under AI-enabled instruction, and what pedagogical innovations are needed to sustain the humanistic essence of education. Grounded in AI-TPACK, double stimulation theory, and collaborative knowledge creation, this study identifies six emerging teacher roles: AI Collaborator, Learning Architect, Humanistic Guide, Data Interpreter, Ethical Mediator, and Epistemic Agent. It also proposes a three-dimensional pedagogical transformation model. The paper argues that although AI improves instructional efficiency and personalized support, human elements—including empathy, critical dialogue, moral guidance, and situated interaction—remain irreplaceable. Practical pathways for teacher development are provided, including tiered training, virtual knowledge-building communities, and institutional support. This framework offers actionable guidance for university English teachers to achieve human-AI collaborative teaching while upholding educational values.
Construction of Personalized Learning Mode for Higher Mathematics in Vocational Education Based on Artificial Intelligence
With the inclusion of artificial intelligence (AI)in vocational education, there comes new chances to improve on how higher mathematics gets taught and learned. Traditional methods used for instruction in vocational college cannot cater to the varying mathematical base, speed of learning and mode of thinking among students thus leading to big differences in achievement as well as loss of interest. This paper proposes and examines a comprehensive AI-based personalized learning mode specifically designed for higher mathematics instruction in vocational education contexts. Based on the theories of adaptive learning, cognitive load theory and mastery learning theory, it is expected that a personalized learning path could be realized by combining ML algorithms, KGs and ITS. From the empirical data that I have obtained after doing a 16 weeks intervention with 240 vocational college students, we can look into how effective this model is. Student's math performance has improved a lot, they are more engaged and confident too. Four data table give out the comparison on a way of performance metric, learning styles distribution, adaptation strategy matching and satisfied result. It will contribute to academic researches about AI-enhanced Education and also have practical significance for curriculum developer, instructors, administrator in vocational education.
Research and Reflection on Ideological and Political Course Teaching in Private Undergraduate Universities
Private undergraduate universities, as important components of higher education alongside public universities, enroll a considerable share of college students in China. They play an irreplaceable role in China’s higher education system and deserve focused attention for the sustainable and sound development of China’s socialist education cause. As a core curriculum guiding students’ professional ideology, fostering their sound mental development, and establishing their value beliefs, ideological and political education is crucial to fulfilling the fundamental task of fostering virtue through education, promoting students’ all-round development, advancing the healthy development of universities, and cultivating high-quality talents for socialist construction. Private undergraduate universities, as an integral part of higher education, must attach sufficient importance to ideological and political courses, advance teaching reform timely, elevate teaching quality, and improve the comprehensive competence of graduates. Against this background, this paper conducts an in-depth study on promoting the construction of high-level ideological and political courses in private undergraduate universities, analyzes realistic dilemmas and deep-seated causes, and puts forward targeted strategies to enhance teaching effectiveness, so as to provide a useful reference for the high-quality development of ideological and political education in private undergraduate colleges and universities.
Enhancing Teaching Quality in the Graduate Course Decision Theory and Methods: Pathways and Practices
To improve the teaching quality of the graduate course Decision Theory and Methods and better meet graduate training needs, this study analyzes data from a course teaching quality questionnaire covering course design, teaching and learning processes, overall satisfaction, learning needs, and existing problems. The results show high overall teaching quality and student satisfaction, with strong recognition of the instructor’s teaching attitude, expertise, and teaching methods. However, issues including insufficient frontier-oriented content, an imbalance between theory and practice, limited integration of literature reading and research training, and the need to improve assessment methods. Based on the findings, this study proposes systematic reform measures centered on integrating literature reading into teaching, including content restructuring, teaching model innovation, assessment optimization, and strengthened practical training, providing references for enhancing graduate course quality.
The Implementation of Project-Based Teaching Method for the "Fundamentals of Electronic Technology" Course at OBE
Addressing current challenges in the teaching process--including students 'weak theoretical foundations, monotonous theoretical content, and insufficient practical experience--we integrated the OBE project-based teaching approach, aligned with the university's educational philosophy of "cultivating high-quality, interdisciplinary, and application-oriented talents" and the specific characteristics and realities of the Fundamentals of Electronic Technology course. Implementation results demonstrate enhanced students 'engineering project thinking, practical skills, and overall course teaching quality, contributing positively to the institution's talent development and significantly improving educational outcomes.
Senior University Students' Extracurricular Activities and English Performance: A Study on Determining Factors and Perceived Impacts
In the context of globalization and internationalization of higher education, English proficiency has become a core competency for college students. Traditional classroom teaching faces limitations such as a single context, insufficient interaction, and limited practical opportunities. Extracurricular activities related to English have become an important complementary path for enhancing language proficiency. This study takes 120 senior English majors from Fuzhou University of Foreign Trade as the research subjects, adopts an interpretive sequential mixed method, and quantitatively analyzes the types, frequency, personal and family determinants of extracurricular activity participation, as well as their correlation with English scores. It also explores subjective perceptions and practical experiences through semi-structured interviews with 10 students. The results show that the frequency and type of extracurricular activity participation are significantly positively correlated with overall English scores; personal motivation, self-efficacy, family economic and cultural capital, and communication atmosphere are key factors affecting participation behavior; academic, professional, and cross-cultural extracurricular activities have differentiated enhancement effects on academic writing, professional application, and oral fluency, respectively. This study addresses the deficiencies in existing research regarding the lack of attention to senior student groups and the absence of a longitudinal perspective, providing empirical evidence for universities to optimize their English extracurricular systems and enhance the quality of talent cultivation.
Deep Integration of AI and Multimodal Theory in College English Teaching: Design, Practice and Effect Verification
In the context of smart education, college English instruction is shifting from knowledge delivery to competency cultivation and humanistic development. Based on multimodal discourse analysis and artificial intelligence (AI) technologies, this paper builds an innovative college English teaching framework supported by intelligent tools, diversified input, interactive output and data-based evaluation. Via theoretical exploration, teaching design, empirical practice and effect analysis, this research explores the implementation path and application value of the integrated model. Results show that the joint application of AI and multimodal theory significantly promotes students’ English application skills, autonomous learning capacity, cross-cultural communication awareness and critical thinking competence. This study offers theoretical support and practical references for the deep integration of information technology and college English courses, and facilitates the high-quality advancement of college English education.
Study on the Construction of "Memory Anchors" and Spatial Narrative Strategies of Public Art in the Transformation of Urban Industrial Heritage
As an important carrier of urban history and culture, industrial heritage carries the city’s collective memory and witnesses the course of industrial development. Transforming old factories into cultural and creative parks has become a mainstream model of urban renewal, but problems such as homogeneity and “thousands of parks with the same appearance” are prominent. Traditional transformation models often ignore the excavation of historical context and the expression of cultural connotation, leading to memory loss and lack of spiritual identity. Taking Beijing 798 Art District, Shanghai M50 Creative Park and Shenyang Hongmei Cultural and Creative Park as research objects, this paper takes public art (sculptures, installations, murals) as the core carrier, defines the concept and value of “memory anchors”, and constructs a spatial narrative strategy system of “anchor layout—context integration—experience interaction”. This research solves the problem of homogenization in industrial heritage transformation, provides a theoretical reference for the organic combination of public art and industrial memory, and forms a replicable practical paradigm for the cultural renewal of urban industrial heritage with memory and temperature.
Research on Innovative Design and Practice of Urban Information Publications Under the Background of Cultural Tourism Integration
The integration of culture and tourism has brought new opportunities for the innovation of urban information publications. Aiming at problems such as fragmented content, homogeneous design, disconnection between online and offline channels, and weak cultural experience, this paper constructs an innovative design system of "online + offline, reading–traveling–enjoying–reflecting". Taking the "Joyful Travel" APP and urban handbook as carriers, it integrates the design concepts of five senses, green development and integration, forming a complete path from information inquiry and travel planning to immersive experience and cultural reflection. Practice has proved that this model can improve the quality of publications and user experience, promote the in-depth integration of culture and tourism, and provide implementable theoretical references and practical paradigms for urban cultural communication.
Practice Research on the Paradigm Transformation of AIGC Penetrating into the Teaching Form of Art Majors in Colleges and Universities
With multi-modal content, AIGC deeply intervenes in the teaching scene of art majors in colleges and universities, promoting the transformation of teaching objectives from skill training to creative expression and humanistic aesthetics, the transformation of teaching subjects from one-way teaching by teachers to human-machine collaborative creation, the transformation of teaching implementation from closed classrooms to project-driven open learning, and the transformation of teaching evaluation from result judgment to process tracing and comprehensive literacy assessment. Based on the teaching reform practice, this study can form an integrated implementation path of "concept first, curriculum reconstruction, classroom closed-loop, and evaluation innovation", which applies AIGC to teaching, re-sorts out and optimizes the teaching-related processes, clarifies the copyright rules for the use of AIGC in teaching, and strengthens the supervision and management of AIGC in the teaching process, so as to promote its application in teaching and realize the improvement of art talent training efficiency and the enhancement of original ability. The AIGC teaching mode conforms to the needs of the digital cultural industry and the direction of new liberal arts construction, and can provide a stable and feasible practical framework for the intelligent transformation of art education in local colleges and universities.
Applied Research on Yin and Yang Five Elements Feng Shui Thought in Garden Space Sequence Design
The five elements of yin and yang and the idea of feng shui are an important part of the traditional Chinese concept of environmental construction. Its influence is not only reflected in the site selection, landscape configuration and spatial organisation, but also deeply permeates the shaping process of the garden space sequence. The garden space sequence is not a simple path series, but a continuous aesthetic experience formed by starting and closing, virtual and real opening and closing, and static and dynamic conversion. By introducing the concept of yin and yang into garden design, we can understand the intrinsic mechanism of spatial contrast, rhythm adjustment and order generation; starting from the concept of the five elements, it helps to recognise the relationship between mountains, water, plants, materials and direction; feng shui thought provides holistic ideas in site adaptation, environmental coordination and artistic conception. This article takes the sequence design of garden space as the research object, sorts out the impact of yin and yang five elements feng shui thought on the traditional garden space organisation, analyses its specific embodiment in the entrance, transition, main scene and tail scene and other links, and further explores its inspiration for modern garden space layout, site shaping and cultural expression, for contemporary gardens Forest design provides a theoretical reference with local cultural roots.