International Education Forum

AI Empowerment and Industry-Education Integration: Exploration on the Curriculum Reform Path of Network Architecture

Changpeng Ji — 2026-06-16

Against the backdrop of the digital economy and emerging engineering education construction, Network Architecture, as a core course in the field of information and communication engineering, is confronted with problems such as outdated content lagging behind technological iteration, practical teaching disconnection from industrial demands, insufficient integration of AI technology, and weak industry-education collaboration. Targeting the cultivation of network talents with AI application capabilities and industrial adaptability, this paper constructs a three-in-one reform framework of “AI-empowered teaching innovation-industry-education integrated ecosystem construction-diversified evaluation guarantee.” At the level of AI empowerment, teaching quality is improved through intelligent reconstruction of curriculum content, upgrading of teaching methods, and innovation of the practical system. At the level of industry-education integration, a dual-cycle mechanism of “campus resource integration-off-campus industrial collaboration” is established to cultivate talents jointly through cooperative training bases. At the evaluation level, a value-added evaluation model based on a knowledge graph is introduced to realize the three-dimensional process assessment of “knowledge-skills-literacy.” Empirical research verifies the effectiveness of the reform path, providing a replicable practical paradigm for the AI-based transformation and in-depth industry-education integration of engineering courses.

Practice Pathways for Graded Closed-Loop Intervention in Psychological Crises Among College Students: An Analysis of Three Typical Cases

Huiling Hu — 2026-06-16

Psychological crises among college students are often characterized by concealment, cumulative stress, and sudden escalation. Single-session interviews, one-off referrals, or experience-based responses are therefore insufficient for systematic prevention and intervention. Based on three anonymized typical cases, this paper examines yellow, orange, and red risk levels and reconstructs a closed-loop intervention pathway consisting of multi-entry screening, structured assessment, graded intervention, and dynamic follow-up. The analysis suggests that yellow-risk students should be supported through preventive care, enhancement of counseling motivation, and consolidation of social support systems; orange-risk students require stronger identification of hidden warning signs, professional assessment, school-family-medical collaboration, and continuous monitoring; and red-risk students must be managed under the principles of life safety first, medical referral priority, and full-process risk control. The study further argues that psychological crisis intervention in higher education should not be treated as an isolated emergency response. Instead, it should integrate early risk identification, unified assessment criteria, risk-matched intervention strategies, clearly defined responsibilities, and continuous review and improvement. Such a framework can improve the standardization and practical effectiveness of warning, referral, intervention, and follow-up procedures for student psychological crises.

The Impact of Short-Video Addiction on Sleep Quality among College Students: The Mediating Role of Fear of Missing Out in an Educational Context

Yao Wu — 2026-06-16

This study focuses on the role of short video addiction in college students’ sleep quality and tests whether “fear of missing out” plays a mediating role. A total of 306 valid questionnaires were collected in different regions using the Short Video Addiction Scale, the Fear of Missing Out Scale, and the Pittsburgh Sleep Quality Index (PSQI). The results showed that short video addiction can not only directly affect the sleep quality of college students, but also indirectly disrupt their sleep patterns by increasing the level of fear of missing out. The above results suggest that behavioral addiction and cognitive emotional mechanisms contribute to sleep disorders in college students. Finally, this paper discusses the significance of the research findings in educational practice and mental health intervention.

A Podcast-Based ICT Intervention to Enhance Multimodal Literacy and Oral Communication Skills in Teaching Poetry among Grade 7 Learners

Dr. Jeazelle C. De Gala — 2026-06-16

This study investigated the effectiveness of a podcast-based information and communication technology (ICT) intervention in enhancing multimodal literacy and oral communication skills in teaching poetry among Grade 7 learners in the Division of Calaca, Calaca City, Batangas. Despite the recognized importance of integrating technology in language instruction, limited research has examined structured podcast-based interventions that develop pronunciation, fluency, clarity of ideas, and confidence in secondary learners. The study employed a sequential explanatory mixed-method design. A total of 108 learners from the Special Program in Foreign Language and Science and Technology Education Program were selected through random sampling for the quantitative phase, which utilized a Likert-scale survey to measure their effectiveness, as well as the issues and challenges that the learners encountered in creating and presenting their self-composed poems through podcast-based multimodal activities. Subsequently, ten purposively selected participants were interviewed to enrich and validate quantitative findings. Results revealed that learners perceived the intervention as highly effective, with overall composite means of 3.3–3.4 across pronunciation, fluency, clarity of ideas, confidence, and ICT integration. Notably, a strong negative correlation (r = –0.7624, P < .00001) was found between learners’ positive perceptions and the challenges they encountered, indicating that the intervention mitigated common difficulties in composing and presenting poems. The study demonstrated that integrating podcast-based multimodal activities facilitated self-assessment, peer collaboration, and reflective practice, which enhanced learners’ oral performance and digital literacy. Hence, the researcher proposed Project V.O.I.C.E. as an innovative, technology-enhanced project that enabled learners to produce meaningful poetry outputs while fostering 21st-century communication skills.

A Comparative Study of the Japanese Case Particle から and the English Preposition From

Zhen Lin — 2026-06-16

As an agglutinative language, Japanese relies on particles to connect sentence constituents. Though Japanese particles carry no lexical meaning and cannot be used independently, they constitute one of the core difficulties in Japanese learning. English, as an inflected language, realizes grammatical features through inflectional changes. English prepositions are also devoid of lexical meaning, yet they undertake the function of connecting nouns and verbs, which shares certain commonalities with Japanese particles. For most Chinese learners of Japanese who take English as their second foreign language, they tend to transfer the usage of the English preposition from to the acquisition of the Japanese case particle から at the initial learning stage. Such language transfer may exert a positive effect at the beginning. Nevertheless, the two differ greatly in syntactic position and semantic connotation. As learning deepens, negative transfer frequently occurs and hinders the improvement of Japanese proficiency. This paper compares the similarities and differences between the Japanese case particle から and the English preposition from, aiming to provide references for Japanese language learners.

Reform and Practice of College Physics Teaching Based on the Concept of New Engineering Talent Cultivation

Wenting Lu — 2026-06-16

With the coordinated development of China’s scientific and technological revolution and industrial transformation, the construction of new engineering disciplines has gradually become an important direction for the reform of higher engineering education in China. Its core goal is to cultivate more innovative and interdisciplinary talents who can adapt to the development needs of future industries. As a core basic course for all engineering majors, college physics undertakes the important task of imparting physical knowledge and connecting basic disciplines with engineering practice. In view of this, based on the core concept of new engineering talent cultivation, this paper systematically analyzes the epochal significance and existing problems of college physics teaching reform under the background of new engineering, and then puts forward practical reform strategies, so as to provide references for universities to promote the reform of college physics teaching.

A Study on the Mechanisms of Enhancing Learning Motivation in Educational Psychology Courses in the Context of Artificial Intelligence

Jiewen Chen — 2026-06-16

This study investigates the mechanisms through which artificial intelligence (AI) enhances learning motivation in Educational Psychology courses. Recognizing that such courses are often characterized by abstract theories and low student engagement, the research adopts a qualitative approach based on Grounded Theory to explore students’ experiences with AI-supported learning. Data were collected through semi-structured interviews with ten undergraduate students majoring in English (Education Track), all of whom had prior experience using AI tools in their studies. The findings reveal that AI influences learning motivation through multiple interrelated pathways. Specifically, AI provides cognitive support by simplifying complex concepts, enhances learning efficiency by organizing knowledge and reducing workload, and fosters interactive engagement through dialogic learning experiences. These factors collectively contribute to the satisfaction of students’ psychological needs for competence, autonomy, and relatedness, thereby promoting intrinsic motivation. However, the study also identifies potential negative effects, including over-reliance on AI leading to superficial learning and reduced independent thinking, as well as issues related to trust in AI-generated content. A theoretical model is proposed to illustrate both the facilitating and inhibiting mechanisms of AI in shaping learning motivation. The results highlight that the impact of AI is dynamic and moderated by factors such as usage strategies, trust levels, and learners’ initial motivation. This study contributes to the literature by providing a process-oriented understanding of AI-supported motivation and offers practical implications for the balanced and pedagogically guided integration of AI in higher education.

The Structurally Shallow Treatment of Vocabulary Instruction in Core-Competency-Oriented Chinese Language Arts Classrooms and Its Improvement

Shurong Peng — 2026-06-16

In core-competency-oriented Chinese language arts teaching, the ultimate concern is how students understand, organize, and use language. Words are the basic units of reading comprehension and expressive production, and they also provide an important entry point for observing whether core competencies are enacted in classroom practice. The problem in current Chinese language arts classrooms is not that words are ignored, but that many forms of vocabulary instruction remain at relatively shallow levels, such as pronunciation correction, explanation of meanings, and removal of reading obstacles. They move less often toward contextual understanding, analysis of expressive effects, and students’ active use of words. This article conceptualizes this phenomenon as a structurally shallow treatment and analyzes its manifestations and causes from three dimensions: objectives, activities, and assessment. It argues that improving vocabulary instruction does not require a separate and complicated instructional model. Rather, it requires reconstructing a learning process that moves from understanding lexical meaning, to grasping contextual meaning in the text, to analyzing expressive functions, and finally to using language. In this way, language development and use, a key expression in Chinese language curriculum standards, can be transformed from curriculum discourse into an observable classroom learning process.

A Study on the Current Status of University Teachers’ Digital Literacy Under the Background of Educational Digital Transformation

Yuqi Bai — 2026-06-16

In the educational area, digital literacy is now an important capability required by university teachers. According to the national standard issued by the Ministry of Education, this investigation employs a mixed method combining questionnaires and semi-structured interviews to examine the digital literacy of 240 professors from four universities in Chengdu in five aspects: digital awareness, digital technology knowledge and skills, digital application, digital social responsibility, and professional development. The findings indicate that the overall digital literacy of university teachers is at a high level (mean score M=4.28), however, there exists an obvious imbalance: the mean scores of digital social responsibility (M=4.41) and professional development (M=4.33) are higher, whereas those of digital application (M=4.19) and digital technology knowledge and skills (M=4.20) are lower, suggesting a situation where “moral concepts are strong but technical application is weak.” Analysis of the differences reveals that gender and educational background do not have a great influence, while age, teaching experience, academic position, and disciplinary background have a significant impact. For example, teachers aged 31–40 and having 11–15 years of teaching experience have the highest comprehensive digital literacy, but professors in arts and humanities always obtain the lowest scores in all dimensions. Therefore, based on these results, this research proposes targeted and detailed measures to enhance the digital literacy of university teachers, aiming to provide an empirical basis and practical suggestions for the transformation of higher education into a digital environment.

Path Exploration of “One-Stop” Student Community Academy Management

Qixiong Zhao — 2026-06-16

In recent years, China’s higher education has entered a stage of high-quality development, and the reform of education models has been continuously deepened. As a new talent cultivation model, the academy system has been widely promoted and practiced in colleges and universities. The academy system breaks the traditional disciplinary barriers of academic departments, takes the student community as the carrier, focuses on the all-round development of students, and builds an education platform integrating education, management, and services. As the core content of the academy system construction, the “one-stop” community management model integrates teaching, management, logistics, and other resources into the student community through resource integration, process optimization, and service innovation, providing students with all-round, all-time, and whole-process service support. It aims to create a community ecology featuring “cohabitation of teachers and students, integration of liberal arts and sciences, interdisciplinary interaction and personalized development.”

Mediation in the CEFR: Innovating Foreign Language Teaching in Sino-Foreign Cooperative Education

Cuicui Wang — 2026-06-16

Against the background of Sino-foreign cooperative education, traditional foreign language teaching is constrained by exam-oriented modes, resulting in students’ inadequate practical language proficiency and intercultural competence. Based on the CEFR Companion Volume, this paper explores the connotation and classification of mediation competence. The paper analyzes the major problems in current foreign language teaching and puts forward targeted implementation paths. Integrating mediation activities into teaching can shift the focus from mere skill training to cultivating students’ ability of meaning construction and cross-cultural communication. It offers new ideas for foreign language teaching reform and talent cultivation in Sino-foreign cooperative education.

Research on the Influence of Generative AI on the Reconstruction Mechanism and Design Efficiency of Fashion Design Creative Process

Xiao Tan — 2026-06-16

In the background of the information age, the development of all walks of life depends on the blessing of intelligent technology, and the clothing industry is no exception. This paper deeply explores the supporting role of generative AI in the creative ecology of clothing. The traditional fashion design mode is inevitably limited by the lack of materials or a lengthy cycle, and generative AI breaks this limitation, and with its powerful content generation ability, it effectively builds a bridge between creativity and the market. It can fully integrate cross-domain cultural elements and material data and help designers quickly turn abstract inspiration into visual design drawings. In addition, AI shows great value in cost control and supply chain coordination, which helps enterprises significantly reduce R&D losses and quickly respond to flexible demand. The research shows that it is the only way for the garment industry to enhance its core competitiveness by building a man-machine collaborative design system.

Research on Emotional Expression of Thick Painting Techniques in Contemporary Landscape Oil Paintings

Daoyang Guan — 2026-06-16

Thick painting technique is an expressive creative method in oil painting. With the thick accumulation of pigments, the three-dimensional shaping of texture, and the emotional expression contained in brush strokes, the visual style and spiritual connotation of contemporary landscape oil painting are reconstructed. In terms of the development process of art history, the thick painting technique has gradually gotten rid of the function of simply reproducing objective things and turned to express emotion and spirit in depth from the embryonic stage of the classical period, the development of impressionism period, and the maturity of the contemporary era. In the process of contemporary landscape oil painting creation, artists use the material characteristics of the thick painting technique to integrate the objective form of natural landscape with their own subjective emotional experience, and convey natural artistic conception, life philosophy, and cultural feelings through the construction of texture, brushwork, and color. Based on the contemporary artistic environment, this paper deeply analyzes the artistic characteristics of thick painting technique and its function as an emotional carrier, explores the internal relationship between thick painting formal language and emotional core, comprehensively explains its aesthetic value and spiritual significance in contemporary landscape creation, and gives the corresponding emotional expression practice path, providing professional reference and academic opinions for perfecting the theoretical system of emotional expression in contemporary oil painting landscape and guiding artistic creation practice.

Exploration of AI-Empowered Interdisciplinary Integrated Project-Based Learning in Primary and Secondary Schools

Mingxia Zhang — 2026-06-16

In today’s rapidly evolving technological landscape, AI is profoundly influencing and reshaping the educational ecosystem. Leveraging artificial intelligence to empower interdisciplinary project-based learning in primary and secondary schools has become a key theoretical and practical focus. Constructivist learning theory emphasizes context, collaboration, discourse, and meaning construction. This theory strongly supports interdisciplinary learning, while current applications of AI technology in creating contexts, facilitating efficient student collaboration and discourse, and enabling active meaning construction also represent a significant advancement in promoting constructivist learning theory. In practice, whether utilizing AI for resource organization and analysis, questionnaire design, learning design, or evaluation, it is essential to define clear roles, refine tasks, and provide specific requirements. AI tools are no longer mere question-and-answer thought partners; intelligent agents with robust reasoning and proactive tool utilization capabilities have become powerful assistants in implementing and evaluating project-based learning. The exploration of AI-enabled interdisciplinary project-based learning in primary and secondary schools demonstrates that technological advancements have driven rapid transformation in education. This will also hold profound contemporary significance for promoting educational equity, enhancing teacher and student capabilities, and ultimately achieving the goal of “delivering education that satisfies the people.”