Journal of Education and Information Technology is an international, peer-reviewed open access journal dedicated to advancing research the field of education and information technology. The journal provides a rapid publication process to ensure wide dissemination of high-quality articles to scientists, professionals, and interested individuals worldwide. Our goal is to serve as an efficient, reliable, and trusted platform for scholars and readers, publishing cutting-edge research in the field.
Abstract: This study addresses the demand for innovative and applied student cultivation in the printing field of light industry, and systematically constructs a cultivation system with "integrating science, education, and industry" as the core. We establish the reform concept of "demand-oriented, innovation driven, and integrating science, education, and industry ", construct a talent cultivation ecosystem that integrates “theory, practice, and quality”. And we innovate the cultivation operation mode of "three-stage, project-based, and mentorship". We are shifting the curriculum from a textbook-centric approach to a project-driven model. It innovates teaching modes and methods, integrates cutting-edge scientific research achievements, and shifts from a "teacher-centered" to a "student-centered" approach. Practices have shown that the reforms have significantly improved students' innovative practical ability, employment competitiveness, and the level of teachers' teaching and research. It has strengthened the close connection between profession and industry. At the same time, the study also reflected on the challenges faced in the long-term mechanism of university enterprise cooperation, continuous improvement of teacher capacity, and adaptability of teaching management. This exploration not only provides an example for the integration of science, education and industry in similar majors, but also injects sustained talent and innovation into the transformation and upgrading of printing industry in the light industry field.Abstract: This study addresses the demand for innovative and applied student cultivation in the printing field of light industry, and systematically constructs a cultivation system with "integrating science, education, and industry" as the core. We establish the reform concept of "demand-oriented, innovation driven, and integrating science, education, and in...Learn More
Abstract: In the context of the new round of scientific and technological revolution and industrial transformation, intelligent manufacturing has become a key factor in global manufacturing competition. However, China is experiencing a severe shortage of talent in this field, particularly among those with interdisciplinary knowledge, outstanding engineering skills and disruptive innovative thinking. This paper aims to systematically explore the theoretical and practical pathways for cultivating such talent. Firstly, it analyses the key challenges currently faced in talent development with regard to knowledge structure, training models, industry-education integration, and evaluation mechanisms. Secondly, it elaborates on the urgency and strategic importance of cultivating such talent in three areas: national strategic security, industrial transformation and upgrading, and international technological competition. Building on this, the paper proposes a comprehensive talent cultivation framework comprising four pillars: 'Cultivation Mechanism-Experimental Teaching and Management System-Evaluation System-Safeguard Measures'. Notably, the paper innovatively proposes an experimental teaching and management system oriented towards deep industry-education integration. This system employs real industrial cases and implements whole-process refined management, serving as a key bridge connecting theory and industry. The system emphasises the 'Four Modernisations' goal for laboratory construction and the 'Whole-Process Refinement' model for teaching management, with the aim of substantially enhancing students' innovation and practical capabilities. The aim of this research is intended to provide a theoretical reference and practical guidance for deepening the reform of engineering education in China, as well as for the construction of a new talent cultivation paradigm that meets the future development needs of intelligent manufacturing.Abstract: In the context of the new round of scientific and technological revolution and industrial transformation, intelligent manufacturing has become a key factor in global manufacturing competition. However, China is experiencing a severe shortage of talent in this field, particularly among those with interdisciplinary knowledge, outstanding engineering ...Learn More
Abstract: The emergence of generative artificial intelligence, represented by ChatGPT, has created new opportunities for the development of International Chinese Language Education (ICLE), while simultaneously posing significant challenges to traditional teaching models, teacher roles, and learning assessment systems. Over the past two years, Chinese scholars have conducted multidimensional research on the application value, potential risks, and response strategies of ChatGPT in ICLE, producing a body of representative academic fruit. Taking 17 relevant studies published in China over the past two years as the research corpus, this study integrates qualitative content analysis with bibliometric analysis using CiteSpace to systematically examine the thematic structure, research hotspots, and developmental trends of ChatGPT-related ICLE research. The findings indicate that existing studies mainly focus on pedagogical applications, teacher role transformation, educational technology ethics, and language quality assessment. Overall, the field demonstrates a developmental trajectory from macro-level discussions toward more concrete pedagogical and empirical investigations. However, limitations remain in terms of empirical depth, theoretical integration, and the construction of evaluation frameworks. Based on these findings, this paper proposes directions for future research, aiming to provide references for the high-quality development of ICLE in the context of generative artificial intelligence.Abstract: The emergence of generative artificial intelligence, represented by ChatGPT, has created new opportunities for the development of International Chinese Language Education (ICLE), while simultaneously posing significant challenges to traditional teaching models, teacher roles, and learning assessment systems. Over the past two years, Chinese scholar...Learn More
