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The Reform of Intelligent Teaching in Science and Engineering Courses Supported by Artificial Intelligence Technology : A Case Study of Polymer Physics
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LIU Mengzhu, HAN Dandan, WANG Xin, YUAN Long, WANG Yongpeng
Journal of Jilin Institute of Chemical Technology, 2026, 43(4): 1-5.
doi:10.16039/j.cnki.cn22-1249.2026.04.001
To advance the precision and scale of teaching quality, it is essential to conduct research on teaching reform that integrates artificial intelligence into conventional science and engineering courses. Current research predominantly focuses on general theories or easily visualized courses, while specialized courses with weaker connections to computer technology still face challenges in integration. To fill the gap, using Polymer Physics as an example, this study explores a framework for AI-empowered, intelligent reform of science and engineering courses from three dimensions: multimedia-enhanced and information-based teaching, virtual simulation-augmented experimentation, and the development of smart classrooms, with the objective of informing pedagogical innovation in related specialties.
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Research on the Mechanism and Practice of Integrated Undergraduate-Postgraduate-Doctoral Talent Cultivation
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ZOU Cunming, LOU Xiaoli
Journal of Jilin Institute of Chemical Technology, 2026, 43(4): 6-10.
doi:10.16039/j.cnki.cn22-1249.2026.04.002
The integrated undergraduate-master-doctor training is an important innovative measure for China’s higher education to adapt to the needs of scientific and technological progress and social development, and to help build a high-level talent team. This training model breaks down the barriers between undergraduate, master’s and doctoral training stages. It can not only effectively shorten the training cycle of high-level talents, but also accurately connect training objectives, curriculum systems and practical links in accordance with the laws of discipline development and the characteristics of talent growth, so as to improve the pertinence and effectiveness of talent training. At present, the integrated undergraduate-master-doctor training model of various universities is still in the stage of exploration and improvement. There are many common problems in the design of training programs, curriculum connection, tutor team construction, quality assurance and other aspects, which restrict the full play of the advantages of the training model. Based on this, on the basis of systematically analyzing the core connotation and operation logic of the integrated undergraduate-master-doctor training model, this paper puts forward operable constructive suggestions combined with the prominent problems in the current training practice, in order to provide useful reference for various universities to optimize the path of high-level talent training and improve the quality of talent training.
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Digital-Empowered,Curriculum-based Ideological and Political Education: A New Exploration of the Talent Cultivation Program for Biotechnology Majors
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DING Wenqiao, XIE Ying, LI Fei, HUANG Qiuting
Journal of Jilin Institute of Chemical Technology, 2026, 43(4): 11-15.
doi:10.16039/j.cnki.cn22-1249.2026.04.003
To meet the requirements for talents brought by the upgrading of the biotechnology industry, the application-oriented undergraduate cultivation curriculum for biotechnology majors has been systematically optimized with regards for digital means and curriculum-based ideological and political education has been integrated into professional teaching. By restructuring the curriculum and teaching models, and virtual simulation technologies is adopted to strengthen the connection between experimental training and industrial practice, this initiative has proven to be effective in enhancing students' professional skills, sense of social responsibility, and their adaptability. In the future, efforts will focus on deepening the integration of digital technologies with professional education, refining the quality feedback mechanisms, and continuously improving the effectiveness of talent cultivation.
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Research on the Artificial Intelligence-Driven Dynamic Adaptation Mechanism for University Employment Management
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WANG Shuopeng, XU Bo
Journal of Jilin Institute of Chemical Technology, 2026, 43(4): 16-22.
doi:10.16039/j.cnki.cn22-1249.2026.04.004
The advent of artificial intelligence(AI) and the extensive application of AI technology have opened new paths for the employment of college students. The technology made up for the shortcomings of traditional data processing methods, enhanced the efficiency and quality of data processing and optimized the employment service and career planning process, which helped achieve the employment effectiveness of college students. In this paper, the current situation of employment data management in colleges and universities is considered to construct an AI-based employment management mechanism which includes data collection and storage, data processing and mining, and data application. The mechanism assists colleges and universities in completing the integrated management of employment data, the prediction of employment destinations, and the precise recommendation of targeted information and employment guidance. In the end, the author shows his outlook for the development trend of employment services in colleges and universities in the context of AI development.
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Research on Intelligent Upgrade of Welding Laboratory and Curriculum Optimization
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CHENG Yanyan, JIANG Feng, LÜ Haibo, WANG Xin, YU Xiaofeng, XING Jian
Journal of Jilin Institute of Chemical Technology, 2026, 43(4): 23-27.
doi:10.16039/j.cnki.cn22-1249.2026.04.005
In response to the reform demands of practical teaching in Welding Majors under the development of intelligent manufacturing, this study proposes an innovative path for intelligent upgrade of welding laboratories and curriculum optimization. By introducing intelligent devices such as welding robots and constructing a virtual simulation teaching platform, an experimental environment for intelligent welding technology has been created for students. The curriculum will be enhanced with intelligent welding content, and experimental designs will focus on intelligent welding techniques to achieve dual improvements in theoretical depth and technical competence. The research aims to enhance the cultivation quality of application-oriented talents through intelligent transformation, serve the upgrading needs of regional equipment manufacturing industries, and provide reference for practical teaching reforms in other institutions.
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The NEET Group in the New Era: Profile, Causes and Countermeasures
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WANG Yu, ZHANG Shengzhe, SONG Tianyu
Journal of Jilin Institute of Chemical Technology, 2026, 43(4): 28-32.
doi:10.16039/j.cnki.cn22-1249.2026.04.006
With the development of social economy and the popularization of education, the scale of the "NEET group" in the new era continues to expand, which has become a global social problem. Taking Jilin Province as an example, this study systematically presents the profile of the NEET group from four dimensions: school, family, society and individual through literature analysis, questionnaire survey and in-depth interview, analyzes the reasons for its formation from the above four aspects, and puts forward suggestions to help the NEET group overcome the difficulties.
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The Deep Logic of Labor Alienation and Coping Strategies in the Development of Artificial Intelligence
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DENG Yingying
Journal of Jilin Institute of Chemical Technology, 2026, 43(4): 39-44.
doi:10.16039/j.cnki.cn22-1249.2026.04.008
The rapid advancement of artificial intelligence has triggered profound transformations in global labor markets. While enhancing efficiency and optimizing resource allocation, it has simultaneously given rise to new forms of labor alienation. Artificial intelligence not only perpetuates the alienation characteristics of the traditional industrial era but also introduces emerging issues such as algorithmic control, data exploitation, and monopolistic practices. These developments have diminished workers′ autonomy, eroded their sense of belonging, and exacerbated labor inequality through collusion between capital and technology. To address these challenges, it is imperative to establish a comprehensive management framework anchored by technological innovation, institutional safeguards, and humanistic considerations, ensuring that AI development places greater emphasis on meeting human needs.
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On Lexical Translation Strategies for Chinese Texts in Foreign Publicity from the Perspective of Eco-translatology: A Case Study of the English Translation of The History of Jilinxi Railway Station
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ZHANG Lei, LI Zhilong
Journal of Jilin Institute of Chemical Technology, 2026, 43(4): 56-60.
doi:10.16039/j.cnki.cn22-1249.2026.04.011
Based on Hu Gengshen's Three-dimensional Transformation Theory of Eco-translatology, this article explores strategies for achieving ecological balance in publicity texts translation through a case study of the English translation of The History of Jilinxi Railway Station. From the linguistic dimension, ecological balance is achieved through terminology standardization, adaptation of temporal expressions, and semantic explicitation. From the cultural dimension, cognitive gaps are bridged through dual annotation, transliteration with annotations and free translation. As for the communicative dimension, communicative intentions are fulfilled through adaptation of aesthetic concepts, pragmatic upgrading of verbs, and reinforcement of semantic prosody.
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An Analysis of the Paths for Ideological and Political Education to Promote Cultural Self-Confidence and Self-Strengthening in the Digital-Intelligent Era
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Xu Debin, Ren Qianyi
Journal of Jilin Institute of Chemical Technology, 2026, 43(4): 61-66.
doi:10.16039/j.cnki.cn22-1249.2026.04.012
The era of digital intelligence brings both new opportunities and challenges to promoting cultural confidence and strength. A thorough investigation into the intrinsic alignment mechanism and practical tension between the promotion of cultural confidence and strength in ideological and political education in colleges and universities in the digital intelligence era reveals a high degree of consistency in their goals, contents, and processes. In the face of current practical predicaments such as the weakening of cultural subject consciousness, the hindrance of commercial capital to discourse construction, and the insufficiency of digital intelligence innovation in cultural resources, efforts should be precisely targeted at aspects such as cultural subjects, communication matrices, and the digital intelligence resource system of Chinese culture. We should explore the path of educational digitalization to empower Chinese modernization with cultural prosperity and effectively enhance the cultural appeal and contemporary adaptability of ideological and political education in colleges and universities.
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Research on the Internal Logic between Chinese Modernization and Forging a Strong Sense of Community for the Chinese nation
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CUI Zhen
Journal of Jilin Institute of Chemical Technology, 2026, 43(4): 80-84.
doi:10.16039/j.cnki.cn22-1249.2026.04.016
This paper systematically expounds the internal logic between Chinese modernization and forging a strong sense of community for the Chinese nations from the perspective of Sinicization of Marxism. The results show that the two share the same origin in theoretical foundation, the same root in ideological inheritance, and the mutual promotion in practical process. Chinese Modernization leads the way in forging a strong sense of community for the Chinese nation from dimensions such as the driving mechanism, value orientation, path selection, institutional design, and civilization form. As the core line, forging a strong sense of community for the Chinese nation is integrated into the process of Chinese modernization, which is a comprehensive and in-depth transformation involving development concepts, governance system, spatial layout, and cultural ecology. Both ultimately point to the great rejuvenation and sustainable unity of the Chinese nation.
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