大数据时代的到来,数据科学与大数据技术专业已迅速成为我国高等教育的重要组成部分。对于地方商科院校而言,这一领域既带来了前所未有的机遇,也提出了独特的挑战。论文深入探讨了地方商科院校在数据科学与大数据技术专业课程体系中的跨学科整合与实践问题,通过分析现有课程体系中存在的不足,阐明了跨学科整合的必要性,并提出了具体的实施策略。此外,论文还结合具体案例,评估了跨学科整合的实际效果与面临的挑战。With the advent of the big data era, Data Science and Big Data Technology has rapidly become a vital component of higher education in China. For local business schools, this field brings unprecedented opportunities as well as unique challenges. This paper delves into the interdisciplinary integration and practice issues within the curriculum system of Data Science and Big Data Technology in local business schools. By analyzing the shortcomings of the existing curriculum system, it elucidates the necessity of interdisciplinary integration and proposes specific implementation strategies. Furthermore, the paper evaluates the practical effects and challenges faced by interdisciplinary integration through specific case studies.
人工智能伦理教育与技术实践的深度融合已成为新工科建设的重要议题。针对传统机器学习实验教学“重技能轻价值”的困境,研究构建“知识–能力–价值”三维目标体系,创新提出“技术解构–社会关联–批判实践”的递进路径。通过双轨案例设计,将数据偏见修正、算法可解释性等思政要素转化为可编程的模型约束条件,结合仿真情境、跨学科协作及开源伦理实践,形成“技术规范与价值判断”协同的教学范式。研究揭示了理工科课程思政的核心机制,即依托技术实践的价值负载特征,在模型调试中实现“伦理认知–价值内化”的转化。为实现教育创新制度化,建议构建校企联动的动态案例库、开发嵌入式伦理评估工具包,并建立涵盖技术性能与伦理敏感度的双重评价体系,推动思政教育从课程改革向系统建构转型,培养兼具技术理性与价值判断力的新型AI人才。The deep integration of AI ethics education with technical practices has become a critical topic in the development of emerging engineering education. Addressing the challenge that traditional machine learning experimental teaching tends to emphasize skills over values, this study constructs a three-dimensional objective system encompassing knowledge, capability, and values. It innovatively proposes a progressive approach through “technical deconstruction-social association-critical practice”. By designing dual-track cases, it transforms ideological and political elements, such as bias correction in data and algorithm explainability, into programmable model constraints. Combining simulated scenarios, interdisciplinary collaboration, and open-source ethical practices, it forms a teaching paradigm where “technical norms and value judgments” are synergized. The research elucidates the core mechanism of ideological and political work in science and technology courses, highlighting the value-laden characteristics of technical practices to achieve the transformation from “ethical awareness to value internalization” during model tuning. To institutionalize educational innovation, it recommends establishing dynamic case libraries involving school-enterprise interaction, developing embedded ethical assessment toolkits, and creating a dual evaluation system covering both technical performance and ethical sensitivity, thereby fostering the transition from course reform to systematic construction in ideological and political education, and nurturing new types of AI talents who possess both technological rationality and value judgment abili
马克思主义理论研究和建设工程(“马工程”)重点教材是新时代马克思主义理论学科建设和课程建设的重要成果,是强化高等院校思想引领与文化阵地建设的重要抓手。地方商科院校“马工程”课程实验教学存在实验教学内容体系不完善、实验教学师资队伍不充足、实验教学平台资源不丰富、实验教学评价体系不科学等问题。基于数据驱动,从实验教学内容、师资队伍、实验平台、评价体系四个方面探索“马工程”课程实验教学路径,旨在提升“马工程”课程实验教学的实效性。The key textbooks of the Project to Study and Develop Marxist Theory (“Marxist Project”) are significant achievements in the development of Marxist theory disciplines and curriculum construction for the new era, serving as a crucial tool to reinforce ideological leadership and cultural front construction in higher education institutions. There are some problems in the experimental teaching of “Marxist Project” course in local business colleges, such as the imperfect experimental teaching content system, the insufficient experimental teaching staff, the insufficient experimental teaching platform resources, and the unscientific experimental teaching evaluation system. Based on data-driven, this paper explores the experimental teaching path of “Marxist Project” course from four aspects of experimental teaching content, teaching staff, experimental platform and evaluation system, aiming to improve the effectiveness of experimental teaching of “Marxist Project” courses.
文章针对地方商科院校非计算机类专业学生的AI素养培养议题,开展了深入研究。剖析了新工科视角下地方商科院校非计算机类专业学生AI素养培养的理论支撑与层次划分。同时,通过剖析当前地方商科院校非计算机类专业学生AI素养教育环境的现状与行业需求,探讨了涵盖课程体系优化、实践教学模式革新、评价体系完善的培养方案的构建。研究为地方商科院校在学生AI素养培养方面提供了可行理论支撑,对于提升商科学生的AI素养及创新能力有着积极的影响,并可为相关教育实践提供参考与启示。This paper conducts an in-depth study on the cultivation of AI literacy among non-computer science students at local business colleges. It analyzes the theoretical foundations and hierarchical classifications of AI literacy development from the perspective of the New Engineering Education framework. Furthermore, by examining the current state of AI literacy education environments and industry demands for non-computer science students at local business colleges, this research explores the construction of a comprehensive training program that encompasses curriculum optimization, innovation in practical teaching models, and improvements in evaluation systems. The findings of this study provide a feasible theoretical foundation for local business colleges aiming to enhance students’ AI literacy and innovative capabilities, offering valuable insights and references for relevant educational practices.
随着消费者的健康意识增强,果酒类产品越来越受欢迎。其中发酵型果酒是指利用水果或果汁,经过发酵或半发酵制成的低度酒,含有抗氧化等有益成分,有助于预防心脑血管疾病。本文结合目前国内外酿造型果酒的研究现状,综述了发酵菌株、温度、pH值、溶解氧含量、二氧化碳浓度、菌体密度和基质浓度等因素对果酒品质的影响,探讨了果酒发酵过程中醇类、酸类、酯类及氨基酸类香气成分的生成机制。最后基于果酒酿造产业当前面临的问题,对未来的研究方向和发展趋势进行分析与展望,为后续提高酿造型果酒品质提供理论参考。With the growing awareness of health among consumers, fruit wine products are gaining increasing popularity. Fermented fruit wine, in particular, refers to a type of low-alcohol beverage made by fermenting or partially fermenting fruits or fruit juice. These wines contain beneficial components, such as antioxidants, which can help prevent cardiovascular diseases. This paper reviews the current state of research on fermented fruit wine production both domestically and internationally, summarizing the effects of factors such as fermentation strains, temperature, pH, dissolved oxygen levels, carbon dioxide concentration, cell density, and substrate concentration on fruit wine quality. It further explores the formation mechanisms of aromatic compounds, including alcohols, acids, esters, and amino acids, during the fermentation process. Finally, this study analyzes and forecasts future research directions and development trends in light of the challenges currently facing in the fruit wine brewing industry, providing a theoretical reference for improving the quality of fermented fruit wines.
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