Personalization for Massive Product Innovation Using Open Architecture

Product innovation is creation of new concepts to plan and realize technological and functional details in the product to satisfy market and customer needs. One of the key drivers to product innovation is reactions of the product to users’ needs. Product innovation needs a cognitive design method based on needs of variant users for the product personalization. In this paper, an open concept is introduced to provide ways to meet user’s individual need in product lifespan. It is for industries to propose product concepts based on open sources, develop and support the product on the public capability. Using the open concept in the product architecture, called open?architecture product(OAP), can improve the product personalization leading to massive product innovation. To promote this promise of the OAP, effective methods are discussed for the OAP development. This paper introduces research on OAPs using adaptable design methods to meet product personalization. Adaptable design is based on the modular structure for product adaptability using function modules and adaptable interfaces. The proposed method provides solutions for planning modules and implementation of OAPs. Methods of OAP module planning, detail and interface design are described for transformation of product concepts into physical structures. A multiple?purpose electrical car is developed in a case study to show effectiveness of the proposed method.

Development of College Students' Innovation and Entrepreneurship Ability under the Model of Personalized Education

The essence of personalized education is an innovative education that respects individual differences. With the continuous evolution of the times,the ability of innovation and entrepreneurship has become the key to reflecting comprehensive national strength. In response to the call of China to build " an innovative country",colleges and universities should cultivate students' individualized thinking and methods and abilities to solve problems on the basis of respecting the creativity and subjectivity of college students,and lay a solid foundation for students' future innovation and entrepreneurship. In this paper,the present situation of students' independent development promoted by personalized education at home and abroad was analyzed firstly,and the existing problems and solutions were pointed out. The study aims to contribute to the acceleration of China's innovation-driven development.

Research on the Innovation of Personalized Education in Colleges and Universities under the Context of Big Data

The advent of the big data era has opened up unprecedented quantifiable dimensions for all walks of life,while also presented many opportunities and challenges.The widespread application of big data in the field of education will inevitably promote the innovation and transformation of the higher education in colleges and universities which introduce new opportunities and challenges to personalized education in colleges and universities.How to promote the indepth integration of big data and higher education to meet the needs of students’personalized development is one of the hot topics in the theoretical field today.In view of this,this article starts with explaining the connotation of personalized education in colleges and universities,analyzes the opportunities and challenges faced by personalized education in colleges and universities under the context of big data,and proposes the ideas of innovating personalized education in colleges and universities under the context of big data.

Village Governance by Economic Capable Persons： A New Pattern of Rural Politics in China

Since the 1980s, a whole class of economic capable persons has emerged along with China＇s rural economic development. This class actively participates in grassroots politics and even leads local village governance, creating a unique, novel pattern of village governance in China. This pattern has far-reaching implications for the use of power in China＇s villages and for the management of grassroots communities. First, it represents democracy-based authoritarian politics （democracy-authority politics） and a transition away from traditional rural village ＂squireship＂ governance. Second, governance by economic capable persons surpasses the unitary, centralized People＇s Commune governance, replacing it with a pluralistic model that utilizes grass-roots community management. Third, the self-governing pattern that is emerging, wherein the general public participates in a government that is dominated by an economic capable persons, demonstrates a modification of ideal villager self-governance and also a pragmatic invention based on local political realities. In the long run, this new class emergence has the potential to evolve into a new type of localized politics; with further economic differentiation in rural areas, village governance will become increasingly diversified, where governing by capable persons will be just one feasible option. This pattern is already becoming common in many rural areas, especially those where the nonagricultural economy is relatively developed

虚实无界:空间计算技术及其教育应用前瞻——兼论空间重塑下的未来教育新模式

作为教育技术革新的前沿,空间计算技术正以其独特的三维交互特性,推动教育领域向沉浸式场景化体验转型。该技术通过整合三维重构、空间感知、用户感知、空间数据管理以及5G/云网等关键要素,为教育提供了一种全新的交互模式,极大地丰富了学习者的空间体验。空间计算技术在教育应用中的潜力与挑战,聚焦于如何通过提供直观的显示方式、实现虚拟与现实的融合,达到虚实无界以及创建深层次的连接,来增强学习效率和认知发展。其在教育中的优势包括促进知识的深度理解、加强学习者的空间思维能力,以及通过沉浸化学习提升学习动机等。基于空间计算技术构建的未来教育生态圈,体现以“人”为中心、“技”术加成和“场”域构建,通过“人”“技”“场”虚实交融,构建空间重塑下的未来教育新模式。

不同人格特质消费者的产品造型意象认知差异研究

获取不同人格特质消费者产品造型意象感性认知与差异。以人格特质中的“大五”人格理论为基础,以家用小型宠物喂食器为例,采用语义差异法与问卷法获取消费者的造型意象认知信息,分析各群体的认知差异。研究发现在“普通与新颖”“实用与花哨”“简约与复杂”“协调与奇异”4个造型意象维度上,外倾性、神经质、开放性消费者群体的认知与其他群体的认知表现出了不同的差异性,这种差异与消费者认知经验、造型意象内涵相关。该分析结果为产品造型意象构建与设计创新提供了支撑。

人工智能技术在医学影像学教学中的应用与评估

本文综述了人工智能(artificial intelligence,AI)技术在医学影像学教学中的应用及其对教育实践的革新作用。AI的集成不仅更新了教学内容,引入了先进的影像分析工具,而且通过翻转课堂和项目式学习等方法,增强了学生的互动和实践能力。个性化学习路径和多元化评估机制的实施,为学生提供了更加丰富的学习体验。尽管存在技术快速迭代和伦理问题等挑战,本文提出了面向教育者、政策制定者和学者的建议,旨在推动AI技术的有效应用,培养具备未来医疗领域需求的专业人才。

吉林省残疾人科技创新引导机制研究

党的二十大对残疾人事业发展作出重要部署,同时强调科技是第一生产力,实施创新驱动发展战略。吉林省颁布较多支持科技创新的政策文件,但关于残疾人科技创新的政策则较少,现有的惠残政策文件更偏重从就业创业方面培养残疾人的创新意识。文章以吉林省残疾人科技创新现状为前提,以科技创新政策为导向,分析残疾人科技创新特点及存在问题,通过发挥政府顶层设计、夯实高校主体责任、校企社多方联动等多维度探索吉林省残疾人科技创新引导机制体系的建构与实施路径。

“个性化”模式下的物流管理专业《运筹学》课堂教学创新研究与实践

信息时代的大学课堂教学创新需要建立的是一种以塑造学生的“个性”和“创造性”为目标的课堂。文中首先提出课堂教学创新的着眼点在于建构具有课程自身特质的“个性化”课堂教学模式的观点,并从师生作用逻辑、课堂知识呈现逻辑和教学效果评价逻辑三个方面揭示课堂教学创新的逻辑,分析“个性化”课堂教学模式的建构内容和过程,最后以面向物流管理专业的《运筹学》课程为例,阐述“个性化”课堂教学模式建构的实践过程。

新质生产力背景下人工智能专业人才培养体系探索

在新质生产力背景下,人工智能专业教育需要适应高科技和高质量发展的要求。新质生产力强调技术、管理与制度的创新,推动高效能、精准化和跨学科融合。该文提出一种以个性化学习和创新能力培养为核心的专业人才培养体系,运用大数据分析和智能化教育技术,动态构建个性化学习路径,实现因材施教和高效能培养。该体系通过创新实验室和创业孵化平台,提供从理论研究到实际应用的完整创新链条,鼓励跨学科合作,提升学生的创新实践能力。同时,结合新质生产力的高质量、高效能特性,采用多样化的评估方法,包括项目成果展示和同行评审,确保学生在学习过程中不断反思和提升。该体系旨在培养具备自主学习能力、创新思维和实践能力的高素质人工智能人才,推动科技创新和产业升级,实现高质量发展。

“文产”视域下残疾人文体活动高质量发展研究

推动残疾人文体活动高质量发展,是残疾人文体事业跨越式发展的深入实施,对进一步满足残疾人日益增长的精神文化需求、提升残疾人幸福感发挥着重要作用。基于文化产业视域,分析与总结残疾人文体活动高质量发展内涵、现状与存在问题,并从残疾人文体活动与文化产业的关联性、文化产业对残疾人文体活动发展的创新性推动视角进行分析,促进残疾人文体活动高质量发展路径需推出特色残疾人文体活动品牌、打造原创残疾人文体活动内容、扩大残疾人文体活动传播载体及内生动力。

教育改革背景下高校就业创业指导体系的构建与优化

高校作为培养未来社会栋梁的摇篮,肩负重大责任,随着知识经济和创新型社会兴起,对高校毕业生的要求日益增加,需要更为灵活、创新和适应力强的职业素养。文章从教育改革的视角出发,系统探讨构建和优化高校就业创业指导体系的策略,重点探讨个性化职业规划、推动学科交叉与专业特色融合、提供丰富实践与实习机会以及与科技手段的有机结合等方面的关键因素,为指导体系的不断改进提供科学依据,以更好地满足高校学生在不断变化的职业环境中的需求,希望通过这些措施,为高校就业创业指导体系的构建与优化提供参考。

中国和欧洲精准医疗发展现状研究

随着精准医学相关技术不断成熟,精准医学体系逐渐成熟走向应用。全球精准医学处于高速发展阶段,其科学和社会价值日益凸显,但整体也面临多方面发展瓶颈,个体化诊疗体系尚未形成。本项目组采用科学文献检索、灰色文献搜索、咨询“地平线2020”国家咨询联络点、中国-欧盟精准医疗合作支持计划(IC2PerMed)专家调查等方法,系统梳理了中国、欧盟精准医疗有关的政策措施、规划方案和行动计划等资料和信息,对各种信息进行标准化、结构化处理并进行对比分析,形成本报告。报告内容涵盖:精准医疗概念演变过程;国际精准医疗联盟介绍;中欧精准医疗领域政策措施、规划方案和行动计划相关性的详细信息;中欧精准医疗模式下医疗健康研究的重点方向;全球精准医疗发展目标。本报告深入分析中欧精准医疗战略,找出双方战略、计划和行动的共同点、差异和差距;明确了各自的PM创新重点;指明了中欧医疗健康研究资助机制各自的优势与不足;探寻了未来全球卫生领域合作的热点。该报告一方面为IC2PerMed的专家小组在精准医疗国际标准、可转移性和扩大合作研究领域提供信息支撑,另一方面,也为促进欧盟和中国之间精准医疗领域合作指引方向,为促进中欧精准医疗合作奠定了坚实的基础。

社会企业:公益慈善创新与残疾人就业新机制

残疾人就业是残疾人体现个体价值、实现社会融合的重要途径,更是中国式现代化进程中残疾人事业全面发展的重要一环。残疾人“生理—身体性”缺陷、“社会—结构性”障碍、人工智能机器人大规模挤占工作机会日趋明显等诸多因素的叠加,使残疾人就业形势愈加严峻,现有的残疾人就业服务体系无法达到既定政策目标。社会企业作为公益慈善的创新之举,赋予了残疾人就业尤其是集中就业新的活力,是残疾人就业的新机制。文章着重分析了社会企业在残疾人就业中的角色定位、实践逻辑以及培育路径。社会企业作为残疾人就业的新机制,扮演着“残疾人集中就业创新场所”的角色,既能实现残疾人规模化就业,也可提升残疾人就业质量。以官办慈善基金会为主导的残疾人就业社会企业,可以实现公共利益最大化为根本目标,通过提供“体面”就业岗位促进残疾人就业。文章最后讨论了国家力量、官办基金会、残疾人自组织、社会大众等多元主体协作的残疾人就业社会企业培育路径。

开放式创新平台激励与约束机制对用户创新行为的影响

平台的开放共享特征促使用户更主动地参与到价值创造活动中,企业吸纳用户参与创新过程成为其提升创新能力的重要途径。从认知—情感双重视角出发,以创新自我效能感、情感承诺为中介变量,以主动型人格为调节变量,探究开放式创新平台激励与约束机制对用户创新行为的影响机制及边界条件。结果显示,开放式创新平台激励机制、约束机制对用户创新行为均具有正向影响;创新自我效能感与情感承诺分别在开放式创新平台激励机制、约束机制与用户创新行为间发挥部分中介作用;主动型人格分别在开放式创新平台激励机制、约束机制与用户创新行为间发挥正向调节作用。

Perspectives and Experiences of Education Stakeholders: A Quantitative Study on the Adoption of Artificial Intelligence in Executive Training Using Structural Equation Modeling

The recent increase in the use of artificial intelligence has led to fundamental changes in the development of training and teaching methods for executive education. However, the success of artificial intelligence in regional centers for teaching and training professions will depend on the acceptance of this technology by young executive trainees. This article discusses the potential benefits of adopting AI in executive training institutions in Morocco, specifically focusing on CRMEF Casablanca Settat. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh et al., 2003), this study proposes a model to identify the factors influencing the acceptance of artificial intelligence in regional centers for teaching professions and training in Morocco. To achieve this, a structural equation modeling approach was used to quantitatively describe the impact of each factor on AI adoption, utilizing data collected from 173 young executive trainees. The results indicate that perceived ease of use, perceived usefulness, trainer influence, and personal innovativeness influence the intention to use artificial intelligence. Our research provides managers of CRMEFs with a set of practical recommendations to enhance the implementation conditions of an artificial intelligence system. It aims to understand which factors should be considered in designing an artificial intelligence system within regional centers for teaching professions and training (CRMEFs).

新质生产力背景下教育数字化赋能创新型人才培养

新质生产力由“高素质”劳动者和“新质料”生产资料两种要素构成。在高等教育领域,培养“高素质”劳动者重点是指培养学生的创新性和创造力;提供“新质料”生产资料的重点是实施教育数字化,践行个性化教育理念。为实现教育强国建设目标,亟须在新质生产力理论引领下,依托教育数字化实施个性化教育,为大批量培养创新型人才开辟新的赛道。其培养目标为:培养学生强烈的好奇心和坚强的意志力、批判性思维与创新思维、学会学习与自主发展能力、系统分析与解决问题能力。其培养体系为:依托教育数字化重塑个性化教育物理空间、学习生态、评价机制和保障体系,推动学习方式向智能化、泛在化和自主化方向发展,使因材施教的千年梦想成为可能。

科技人才性别结构对区域绿色技术创新的影响

女性独特的价值观与绿色技术创新的环保低碳理念不谋而合,当其跻身于创新活动之中,带来的科技人才性别结构的改变能否影响绿色技术创新值得探讨。选取2009-2020年中国30个省份的面板数据,采用固定效应模型分析科技人才性别结构对绿色技术创新的影响。结果表明:(1)平衡科技人才性别结构、提高科技人才女性占比显著促进了绿色技术创新;(2)平衡科技人才性别结构、提高科技人才女性占比对绿色技术创新的驱动更可能在数字化水平高、性别观念现代化的情境下展现;(3)提高科技人才女性占比对绿色实用新型专利申请的促进作用更显著,同时,提高科技人才女性占比对绿色技术创新的促进作用在东部和西部地区相对更显著。

探索人工智能技术在视觉传达设计中的应用

随着科技的持续进步与革新,人工智能技术在视觉传达设计中的应用日益广泛,并正在深刻改变这一领域的创作方式。本文探讨了人工智能在图像处理、动态内容生成、个性化推荐系统等方面的应用,分析了其带来的显著效率提升和创意增强。通过人工智能技术,设计师能够自动化处理繁杂的设计任务,实现高效且精准的视觉表达。此外,人工智能在个性化推荐和用户行为分析中的应用,显著提升了用户体验和购买转化率。然而,人工智能在创意和情感表达方面的局限性仍然存在,设计师的监督和优化仍不可或缺。本文旨在全面探讨人工智能技术在视觉传达设计中的潜力和挑战,展望未来的发展趋势。

Artificial Intelligence-Enhanced Learning:A New Paradigm in the“Business Data Analysis and Application”Course

This paper explores the transformative impact of generative artificial intelligence(AI)on the“Business Data Analysis and Application”course in the post-2023 era,marking a significant paradigm shift in educational methodologies.It investigates how generative AI reshapes teaching and learning dynamics,enhancing the processing of complex data sets and nurturing critical thinking skills.The study highlights the role of AI in fostering dynamic,personalized,and adaptive learning experiences,addressing the evolving pedagogical needs of the business sector.Key challenges,including equitable access,academic integrity,and ethical considerations such as data privacy and algorithmic bias,are thoroughly examined.The research reveals that the integration of generative AI aligns with current professional demands,equipping students with cutting-edge AI tools,and tailoring learning to individual needs through real-time feedback mechanisms.The study concludes that the incorporation of generative AI into this course signifies a substantial evolution in educational approaches,offering profound implications for student learning and professional development.