Journal of Contemporary Educational Research

A Dual-Driven Teaching Reform for the Business Intelligence Course: Integrating Scenario-Based Learning and Industry-Education Collaboration

Shiqi Bao — 2026-04-03

As the digital economy reshapes enterprise operations, the convergence of business intelligence and artificial intelligence (AI) drives demand for professionals combining business acumen with technical expertise. The Business Intelligence course faces persistent challenges: technical instruction disconnected from business contexts, superficial AI integration, and practical training misaligned with industry needs. Drawing on teaching reform literature, this paper proposes a dual-driven framework integrating scenario-based teaching with industry-education collaboration. The model spans four dimensions—curriculum content redesign, instructional innovation, multi-tiered practical training, and evaluation refinement—each discussed with implementation strategies. The approach embeds AI technologies within authentic business scenarios, aiming to cultivate interdisciplinary talent equipped for evolving industry demands.

An Overview and Pathway Exploration of the Inheritance and Development of Traditional Chinese Medicine in Zhaotong Region from the Perspective of Cultural Confidence

Changxing Huang — 2026-04-02

Traditional Chinese medicine (TCM), as a treasure of the Chinese nation, embodies the profound essence of traditional Chinese culture. It serves as a vital component and carrier of this heritage, forming a solid foundation for upholding cultural confidence in TCM. As one of Yunnan’s three major cultural cradles, Zhaotong boasts a rich accumulation of TCM culture, constituting an integral part of southern Yunnan’s medical tradition. Therefore, this paper aims to examine the development of TCM in the Zhaotong region, interpret its distinctive advantages and existing challenges, and explore potential development pathways. This effort seeks to foster a unique sense of cultural value recognition for TCM in Zhaotong and promote the inheritance and advancement of TCM within the region.

Resolving the Dilemma of “Employment Apathy” among University Graduates: An Exploration of Paths Based on the Synergy of “Employment-Education”

Guihong Xie — 2026-04-02

In recent years, against the backdrop of economic transformation and structural adjustments in the job market, the phenomenon of “employment apathy” among university graduates has become increasingly prominent, emerging as a critical issue affecting employment quality and the efficiency of talent resource allocation. This phenomenon is characterized by low employment willingness, delayed career decision-making, and poor employment matching. Based on the practical experience of university education, this paper systematically analyzes the multi-dimensional causes of the “employment apathy” dilemma, identifies the core problems in the operation of the existing “employment-education” synergy mechanism, and ultimately proposes targeted optimization paths. It aims to provide practical guidance for universities to tackle the problem of “employment apathy” and enhance the adaptability between talent cultivation and employment.

Research on the Teaching Model of AIGC-Empowered Interdisciplinary Competence Cultivation for Postgraduates in Biomedical Fields

Yumei Li — 2026-04-02

This paper aims to explore an interdisciplinary postgraduate course teaching model based on AIGC (Artificial Intelligence Generated Content) technology. Taking the course Biomass Energy Engineering and Technology as the carrier, it constructs a “Four-Wing Intelligent Integration” interdisciplinary teaching model from four dimensions: AIGC-assisted reconstruction of interdisciplinary teaching content, iterative update of the Chaoxing AI teaching platform, AIGC-assisted flipped classroom, and AI intelligent evaluation and feedback. The model promotes students’ personalized learning and the development of interdisciplinary competence, and a replicable AIGC interdisciplinary teaching model has initially taken shape, providing a reference for the digital and intelligent reform of postgraduate education and teaching.

Foreignization and Domestication in the English Translation of Material Cultural Words in Manchu Intangible Cultural Heritage: A Case Study of the English Version of The Tale of the Nisan Shamaness

Shimeng Wang — 2026-04-02

This study takes the foreignization and domestication strategies in translation theory as the core framework and combines text content analysis and case comparison research methods to focus on the translation practice of material cultural words in the English version of the Manchu intangible cultural heritage epic “Nisan Shaman.” The research finds that this translation presents a distinct strategy feature of “foreignization as the main approach and domestication as the auxiliary,” which is a rational decision made by the translator under the influence of multiple factors such as the goal of cultural dissemination, text characteristics, and reader acceptance. It forms a mixed model mainly based on “foreignization through transliteration + domestication through annotation.” The research indicates that in modern society, the translation of intangible cultural heritage needs to seek a balance between maintaining cultural authenticity and ensuring communication fluency. This combination of translation strategies also conforms to China’s important strategy of promoting “cultural going global,” and while promoting the sustainable development of intangible cultural heritage of ethnic minorities, it also promotes the international dissemination of excellent traditional Chinese culture.

Construction and Optimization of the Curriculum System for Physics Major in Normal Universities from the Perspective of Knowledge Graphs

Yufei Wei — 2026-04-02

Against the dual backdrop of the digital transformation of education and the quality and efficiency improvement of teacher education, the curriculum system for physics major in normal universities is confronted with practical predicaments such as fragmented knowledge, weakened interdisciplinary connections, and disjointed competency cultivation. Based on constructivism theory, connectivism learning theory, and teacher professional development theory, this paper introduces knowledge graph technology and constructs a “three-dimensional integrated” optimization framework for the curriculum system. By sorting out the core competencies and graduation requirements of physics major in normal universities, extracting knowledge nodes, ability nodes, and competency nodes in the curriculum system, and using Neo4j and CiteSpace tools to draw disciplinary knowledge graphs, teaching ability graphs, and interdisciplinary integration graphs, a visualized curriculum correlation network is formed. Taking the 2022 and 2023 grade students of physics major at Chengdu Normal University as the empirical subjects, a comparative study shows that the optimization of the curriculum system from the perspective of knowledge graph can effectively solve the structural defects of traditional curricula, realize the coordinated development of “knowledge-ability-competency,” and provide a replicable and promotable practical paradigm for the reform of the curriculum system of science majors in normal universities.

Mechanism Study on Scenario Innovation Empowering the Integration of Specialty and Innovation Education Reform: A New Liberal Arts Course Practice Based on the “Teacher-Student-Machine” Collaboration

Qinying Sun — 2026-04-02

Against the backdrop of the accelerated application of artificial intelligence, courses integrating specialty education and innovation-entrepreneurship education still face challenges such as the disconnection between learning and application, imbalance in collaboration, and insufficient educational effectiveness. Taking the course E-commerce Innovation and Entrepreneurship as an example, this study introduces the perspective of scenario innovation and constructs a teaching mechanism centered on real value-creation scenarios and supported by “teacher-student-machine” collaboration. The paper elaborates on its operational mechanism from three dimensions: content reconstruction, collaborative operation, and immersive education. A closed-loop educational model characterized by “structural optimization, process collaboration, and value accumulation” is thus formed. This study expands the explanatory framework of scenario innovation and human-machine collaboration in innovation and entrepreneurship education, and provides references for the integration of specialty and innovation education and AI-empowered teaching reform in the New Liberal Arts context.

Exploratory Research on Knowledge Graph Combined with Artificial Intelligence Teaching Assistant in the Fundamentals of Nursing Course

Jianwei Hu — 2026-04-02

Higher education is undergoing digital construction, and traditional education can no longer meet the training needs of nursing talents in the new era. The teaching of Fundamentals of Nursing faces several dilemmas, including cumbersome course content and scattered knowledge points. With the iterative update of modern digital technologies, the knowledge graph—structured, semantic, scalable, and multi-source integrated—provides a technical path to solve these problems. This study proposes a planned teaching application scheme based on the Xuexitong platform, which integrates the knowledge graph, artificial intelligence teaching assistant, and task engine. This scheme not only provides practical reference for the teaching innovation of Fundamentals of Nursing but also offers new ideas for the in-depth integration of educational technology and nursing teaching.

Examining the Effects of AI-Enhanced Teaching on Pre-Service Teachers’ Instructional Application Competence in Digital-Intelligent Literacy: A Case Study of the Course AI-Enhanced Instructional Design Innovation and Application

Shimin Li — 2026-04-03

Investigating how AI-enhanced teaching influences pre-service teachers’ instructional application competence in digital-intelligent literacy is of substantial value for optimizing teacher education curricula, improving instructional management in teacher preparation programs, and enhancing the quality of future teachers’ digital-intelligent development. Taking the course AI-Enhanced Instructional Design Innovation and Application as an example, this study employed a self-developed questionnaire to examine changes in pre-service teachers’ digital application competence and practical AI application competence before and after course participation. A total of 299 valid responses were collected from students enrolled at a normal university in Yunnan Province, China. Drawing on the digital application competence dimension in the Teacher Digital Literacy framework and the practical application dimension in the AI Literacy Framework for Primary and Secondary School Teachers in Guangdong Province (Trial), this study conducted a pre-post comparative analysis of pre-service teachers’ instructional application competence in digital-intelligent literacy. The findings indicate that participation in the course significantly improved students’ competence, particularly in digital instructional design, digital instructional implementation, intelligent resource development, and intelligent instructional implementation. However, relatively limited gains were observed in digital academic assessment, intelligent instructional evaluation, and collaborative education.

Research on the Standardization of University Logistics Management and the Paths to Strengthen Its Educational Function

Changkang Ding — 2026-04-03

To improve the level of university logistics management and support universities in implementing the fundamental task of fostering virtue through education, this paper conducts research from the perspectives of standardizing university logistics management and strengthening its educational function. Firstly, it analyzes the important significance of the standardization of university logistics management. Secondly, it interprets and expounds the necessity of standardizing university logistics management and strengthening its educational function. Finally, in light of the challenges encountered, it proposes multiple measures including updating management concepts, improving management systems, advancing informatization construction, and integrating educational elements. These measures aim to help universities realize the standardization of logistics management, strengthen the educational function of universities, and enable logistics management to effectively achieve the goal of “educating through management and service,” thus providing a solid guarantee for the high-quality development of universities.

Research on the Reconstruction of New Energy Vehicle Maintenance Courses Based on Modular Maintenance Approaches

Deliang Wei — 2026-04-03

The new energy vehicle industry is growing quickly, bringing new opportunities and challenges to automotive maintenance professional education. This paper checks vocational schools’ current new energy vehicle maintenance curriculum to see if the curriculum fits real maintenance work and industry needs. Industry and education are not linked well right now. This project takes “modular maintenance” as a starting point and rebuilds the traditional curricula. A vehicle is split into five main parts. It gets rid of gaps between different subjects and rearranges teaching content. A content system consisting of “modules-projects-tasks” is built and corresponding multimedia materials are added as a supplement. Teaching activities are designed, focusing on the “teach, learn, do, evaluate” way of learning. A diverse assessment method based on professional abilities is used. The results show that this approach is effective in developing students’ systematic thinking, boosting their overall maintenance skills, cultivating their professional qualities, and helping vocational education combine with real social needs.

Paths and Strategies for Digital-Intelligence Empowered Curriculum Ideology and Politics in Mechanical Engineering

Yuexia Lv — 2026-04-02

Driven by the dual imperatives of the New Engineering initiative and the digital transformation of higher education, digital intelligence technologies present new opportunities to enhance the effectiveness of curriculum-based ideological and political education in mechanical engineering programs. As a core foundational course for mechanical engineering majors, Thermodynamics and Fluid Mechanics integrates theoretical rigor, practical application, and a strong engineering orientation. Based on the characteristics of this course, this study systematically analyzes the major challenges currently encountered in integrating ideological and political education into professional curricula. Furthermore, practical implementation pathways empowered by digital-intelligence technologies are explored. The proposed framework aims to provide useful references for promoting the digital and intelligent transformation of curriculum-based ideological and political education in mechanical engineering programs, thereby facilitating the coordinated development of professional knowledge education and value-oriented guidance.

Optimization and Enhancement of Classroom Activity Design in High School Ideological and Political Education: Taking “Understanding Economic Globalization” as an Example

Jian Xiong — 2026-04-02

Effective teaching in high school ideological and political courses relies on an accurate understanding of students’ learning situations, meticulous design of classroom activities, and systematic stimulation of learning motivation. This paper first analyzes three core contradictions in high school students’ learning of ideological and political subjects: the contradiction between the need for deep learning and shallow learning habits, the contradiction between insufficient internal motivation and an externally high-pressure environment, and the contradiction between abundant knowledge reserves and a lack of value identification. Based on this, using the lesson “Understanding Economic Globalization” as an example, it demonstrates that classroom activities grounded in authentic contexts, clear tasks, and diverse evaluations can effectively stimulate students’ enthusiasm for participation and their sense of agency, promoting knowledge construction, ability enhancement, and value identification. Finally, it summarizes teaching pathways for stimulating motivation: relying on authentic contexts, clarifying task divisions, establishing multi-dimensional evaluations, and designing value-oriented critical thinking activities that promote the integration of knowledge and action, thereby providing practical references for resolving teaching dilemmas and achieving the educational goals of ideological and political courses.

Integration of Museum Educational Functions for Tertiary Students in China

Junjie Luo — 2026-04-02

The educational function of museums has attracted the attention of the Chinese government and society. However, teachers still face challenges and obstacles in effectively instilling the educational functions of museums in students in higher education. This study aims to examine the strategies and experiences of teachers utilizing museums for educational purposes in China. It employed a qualitative research methodology, utilizing a case study approach. Samples comprised six teachers selected using purposive sampling to participate in a semi-structured interview. These teachers have 15 years of teaching experience. An interview protocol comprised of seven interview questions was used to collect data on integrating museum educational functions for tertiary students in China. By investigating these aspects, the study aims to explore the current practices of teachers inculcating the educational functions of museums to tertiary students in China. The data from the semi-structured interviews were analyzed using thematic analysis. Findings revealed that integrating museum visits into teaching and collaborating between colleges or universities and museums have many benefits. Museum education makes learning more fun and understandable for students, helping them enjoy learning and find it more meaningful. The study emphasizes the need of incorporating museum education into teaching methods, as well as developing collaboration between schools and museums, in order to improve student learning experiences and create lifetime love for arts, culture, and history. Future research can explore innovative teaching methods that leverage museum platforms to convey abstract concepts, foster critical thinking, and promote interdisciplinary learning in current practices of teachers inculcating educational functions of museums to tertiary students in China.

The Application of Project-Based Teaching Method in Higher Vocational Computer Education

Baohua Tian — 2026-04-07

The project-based teaching method emphasizes building a bridge between theory and practice through specific projects as effective carriers. By implementing the student-centered teaching philosophy, it specifically makes up for the shortcomings of traditional teaching and cultivates more high-quality technical and skilled talents. Computer teaching in higher vocational colleges undertakes the important mission of cultivating talents highly in line with market demands. The introduction and application of the project-based teaching method in higher vocational computer teaching can not only fully stimulate students’ learning interest but also help them solidly master practical computer-related skills, thereby laying a solid foundation for their future development. This paper conducts an in-depth discussion on the important significance and effective strategies of applying the project-based teaching method in higher vocational computer teaching, aiming to significantly improve the effectiveness and practicality of higher vocational computer teaching and provide replicable experience and paradigms for cultivating more high-quality technical and skilled talents.

An Analysis of China-ASEAN Publishing Exchange Research from the Perspective of a Community with a Shared Future for Mankind: A Visual Analysis Based on Knowledge Graphs

Yi Li — 2026-04-02

Based on 128 journal articles from the CNKI database spanning 2006 to 2026, this study employs the CiteSpace knowledge graph method to conduct a visual analysis of the knowledge structure, evolutionary trends, and frontier issues in research on China-ASEAN publishing exchanges from the perspective of a Community with a Shared Future for Mankind. The findings reveal that the scientific research collaboration network in this field exhibits low density, characterized by “decentralization and independence.” Research themes have evolved from “policy-driven” to “efficacy-oriented,” forming a keyword co-occurrence network with “ASEAN” as the core hub and key nodes such as “the Belt and Road,” “Going Global,” “theme publishing,” and “Guangxi.” As a geographical bridge and a typical case connecting China and ASEAN, “Guangxi” holds significant practical importance. Cluster analysis identifies four major frontier directions, revealing a paradigm shift in research from macro-level initiative interpretation to meso-level mechanism construction and micro-level communication efficacy inquiry. Future research should promote the “institution-industry-culture-technology” four-dimensional interdisciplinary integration, strengthen field investigations and localized reception analysis targeting ASEAN audiences, and prudently address ethical challenges arising from AI empowerment, in order to deepen the value co-creation function of publishing exchanges in building the China-ASEAN Community with a Shared Future.

Smart Technologies as Tools for Developing Sustainable Leadership Competencies in the Education System: A Conceptual Model and Directions for Empirical Validation

Valeriia Tarasenko — 2026-04-02

Global environmental and socio-economic challenges have intensified the need to cultivate sustainable leadership competencies through educational systems. As education undergoes rapid digital transformation, smart technologies—such as artificial intelligence, adaptive platforms, data analytics, and immersive learning environments—are increasingly integrated into teaching and learning processes. However, their role in fostering sustainable leadership competencies remains insufficiently theorized. This study develops a conceptual model in which smart technology integration contributes to the development of sustainable leadership competencies through a sequential mediation pathway: systems thinking, environmental responsibility, and strategic decision-making. In addition, institutional orientation toward sustainable development is proposed as a moderating factor that strengthens the relationship between smart technology integration and systems thinking. The article advances the literature by bridging research on digital transformation, sustainability, and leadership development within a unified theoretical framework. It also provides a foundation for future empirical validation using structural equation modeling (SEM)/PLS-SEM and offers practical guidance for the design of sustainability-oriented educational programs.

Application of Xinghuo Large Model in Teachers’ Facial Emotion Analysis

Kai Xu — 2026-04-07

Facial expression recognition has been an active research field over the past few decades, with typical methods including principal component analysis based on eigenfaces and independent component analysis. With the development of deep learning technology, convolutional neural networks have also played an important role in facial expression recognition. Although these methods perform well, there is still significant room for improvement. This paper uses the Xinghuo Large Model for teachers’ facial emotion analysis. First, classroom recorded videos are framed to extract key facial expression regions of teachers; then a network model is constructed, which is adjusted and extracted through a two-stream architecture; next, teachers’ facial data are used as network input, and emotion prediction is performed using deep learning-based methods and Xinghuo Large Model-based methods respectively; finally, the prediction results are fused to obtain the final teachers’ facial emotion analysis results.